lnalinaf commited on
Commit
c6acfe1
·
1 Parent(s): 4c2003a

Upload networks (bestweight.h5 files)

Browse files

Pretrained networks used in the longevity report

Files changed (28) hide show
  1. Networks/.DS_Store +0 -0
  2. Networks/UKBiobank/.DS_Store +0 -0
  3. Networks/UKBiobank/GTEx_networks/.DS_Store +0 -0
  4. Networks/UKBiobank/GTEx_networks/GenNet_balding_ukbb_1000005007/bestweight_job.h5 +3 -0
  5. Networks/UKBiobank/GTEx_networks/GenNet_balding_ukbb_1000005007/log.csv +27 -0
  6. Networks/UKBiobank/GTEx_networks/GenNet_balding_ukbb_1000005007/model_architecture.txt +30 -0
  7. Networks/UKBiobank/GTEx_networks/GenNet_breastcancer_ukbb_1000004025/bestweight_job.h5 +3 -0
  8. Networks/UKBiobank/GTEx_networks/GenNet_breastcancer_ukbb_1000004025/log.csv +12 -0
  9. Networks/UKBiobank/GTEx_networks/GenNet_breastcancer_ukbb_1000004025/model_architecture.txt +30 -0
  10. Networks/UKBiobank/GTEx_networks/GenNet_hypertension_ukbb_1000004013/bestweight_job_hypertension.h5 +3 -0
  11. Networks/UKBiobank/GTEx_networks/GenNet_hypertension_ukbb_1000004013/log.csv +3 -0
  12. Networks/UKBiobank/GTEx_networks/GenNet_hypertension_ukbb_1000004013/model_architecture.txt +30 -0
  13. Networks/UKBiobank/Gene Networks/.DS_Store +0 -0
  14. Networks/UKBiobank/Gene Networks/Ref Gene/.DS_Store +0 -0
  15. Networks/UKBiobank/Gene Networks/Ref Gene/GenNet_diabetes_ukbb_1000000056/.DS_Store +0 -0
  16. Networks/UKBiobank/Gene Networks/Ref Gene/GenNet_diabetes_ukbb_1000000056/bestweight_job_diabetes.h5 +3 -0
  17. Networks/UKBiobank/Gene Networks/Ref Gene/GenNet_diabetes_ukbb_1000000056/log.csv +51 -0
  18. Networks/UKBiobank/Gene Networks/Ref Gene/GenNet_diabetes_ukbb_1000000056/model_architecture.txt +24 -0
  19. Networks/UKBiobank/Gene Networks/Ref Gene/GenNet_diabetes_ukbb_1000000056/train_val_loss.png +0 -0
  20. Networks/UKBiobank/Imm_networks/.DS_Store +0 -0
  21. Networks/UKBiobank/Imm_networks/GenNet_AF_ukbb_1020004000/.DS_Store +0 -0
  22. Networks/UKBiobank/Imm_networks/GenNet_AF_ukbb_1020004000/bestweight_job_AF.h5 +3 -0
  23. Networks/UKBiobank/Imm_networks/GenNet_AF_ukbb_1020004000/log.csv +49 -0
  24. Networks/UKBiobank/Imm_networks/GenNet_AF_ukbb_1020004000/model_architecture.txt +30 -0
  25. Networks/UKBiobank/Imm_networks/GenNet_CAD_ukbb_1010004001/.DS_Store +0 -0
  26. Networks/UKBiobank/Imm_networks/GenNet_CAD_ukbb_1010004001/bestweight_job_Imm_CAD.h5 +3 -0
  27. Networks/UKBiobank/Imm_networks/GenNet_CAD_ukbb_1010004001/log.csv +23 -0
  28. Networks/UKBiobank/Imm_networks/GenNet_CAD_ukbb_1010004001/model_architecture.txt +30 -0
Networks/.DS_Store ADDED
Binary file (6.15 kB). View file
 
Networks/UKBiobank/.DS_Store ADDED
Binary file (10.2 kB). View file
 
Networks/UKBiobank/GTEx_networks/.DS_Store ADDED
Binary file (6.15 kB). View file
 
Networks/UKBiobank/GTEx_networks/GenNet_balding_ukbb_1000005007/bestweight_job.h5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:695c4999da9792e28561319d9bec3f9294a00fa3202dce708bb4594e3f675548
3
+ size 81030436
Networks/UKBiobank/GTEx_networks/GenNet_balding_ukbb_1000005007/log.csv ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch;accuracy;loss;sensitivity;specificity;val_accuracy;val_loss;val_sensitivity;val_specificity
2
+ 0;0.498931884765625;0.9617642760276794;0.988637387752533;0.007611405570060015;0.5;1.0379278659820557;0.5238094925880432;0.0
3
+ 1;0.5008307695388794;0.9497172832489014;0.9999998807907104;0.0;0.5;1.0376266241073608;0.5238094925880432;0.0
4
+ 2;0.501068115234375;0.9413212537765503;0.9999998807907104;0.000541125365998596;0.5014880895614624;1.0372908115386963;0.5238094925880432;0.0022321422584354877
5
+ 3;0.5022549033164978;0.9339446425437927;0.9999998807907104;0.0031301763374358416;0.5;1.0355623960494995;0.5238094925880432;0.0
6
+ 4;0.5022549033164978;0.9259421229362488;0.9999998807907104;0.0028151110745966434;0.5014880895614624;1.0339479446411133;0.5238094925880432;0.0022321422584354877
7
+ 5;0.5048658847808838;0.9164320230484009;0.9999998807907104;0.007700722198933363;0.5014880895614624;1.0297982692718506;0.5238094925880432;0.0022321422584354877
8
+ 6;0.5060526728630066;0.9084182381629944;0.9999998807907104;0.010491750203073025;0.5014880895614624;1.023137092590332;0.5238094925880432;0.0022321422584354877
9
+ 7;0.508426308631897;0.9002966284751892;0.9999998807907104;0.015414131805300713;0.5007440447807312;1.0119856595993042;0.523065447807312;0.0022321422584354877
10
+ 8;0.5074768662452698;0.8919440507888794;0.9999998807907104;0.01289219968020916;0.5014880895614624;0.9955740571022034;0.5238094925880432;0.0022321422584354877
11
+ 9;0.510562539100647;0.8835108280181885;0.9999998807907104;0.019755233079195023;0.5007440447807312;0.9785428047180176;0.523065447807312;0.0022321422584354877
12
+ 10;0.5119867324829102;0.8734173774719238;0.9999998807907104;0.02148270793259144;0.5022321343421936;0.9687930345535278;0.523065447807312;0.003720237407833338
13
+ 11;0.512698769569397;0.8653886914253235;0.9999998807907104;0.02355451136827469;0.5007440447807312;0.9579663872718811;0.523065447807312;0.0022321422584354877
14
+ 12;0.515309751033783;0.8568545579910278;0.9999998807907104;0.02895737811923027;0.5007440447807312;0.9515732526779175;0.523065447807312;0.0022321422584354877
15
+ 13;0.5145976543426514;0.8484496474266052;0.9999998807907104;0.027618031948804855;0.5022321343421936;0.9509062170982361;0.523065447807312;0.003720237407833338
16
+ 14;0.5176833868026733;0.8394540548324585;0.9999998807907104;0.03400486335158348;0.5014880895614624;0.9559149146080017;0.5178570747375488;0.008928569965064526
17
+ 15;0.5198196172714233;0.830572783946991;0.9999998807907104;0.03706862032413483;0.5;0.9536837339401245;0.5238094925880432;0.0
18
+ 16;0.520056962966919;0.8214294910430908;0.9999998807907104;0.03797626495361328;0.5022321343421936;0.9499089121818542;0.523065447807312;0.003720237407833338
19
+ 17;0.5245668292045593;0.8120782971382141;0.9999998807907104;0.04827037826180458;0.5007440447807312;0.9498456120491028;0.5215773582458496;0.003720237407833338
20
+ 18;0.5231426358222961;0.8031396269798279;0.9999998807907104;0.04376472160220146;0.5007440447807312;0.9512523412704468;0.51860111951828;0.007440474815666676
21
+ 19;0.5345359444618225;0.793448805809021;0.9999998807907104;0.06675639748573303;0.5014880895614624;0.9515504240989685;0.5178570747375488;0.008928569965064526
22
+ 20;0.5333491563796997;0.7845677137374878;0.9999998807907104;0.06553258746862411;0.5014880895614624;0.9515285491943359;0.5178570747375488;0.008928569965064526
23
+ 21;0.5411820411682129;0.7750437259674072;0.9999998807907104;0.08197888731956482;0.5007440447807312;0.9496241807937622;0.5215773582458496;0.0029761900659650564
24
+ 22;0.5475907921791077;0.7652716636657715;0.9999998807907104;0.09464710205793381;0.5007440447807312;0.9498658776283264;0.5215773582458496;0.0029761900659650564
25
+ 23;0.5577973127365112;0.7547951936721802;0.9999998807907104;0.11309324204921722;0.5007440447807312;0.9491887092590332;0.5208333134651184;0.004464284982532263
26
+ 24;0.5606456398963928;0.7458269596099854;0.9999998807907104;0.12164328247308731;0.5014880895614624;0.9493839740753174;0.51860111951828;0.0081845223903656
27
+ 25;0.5737004280090332;0.7360031604766846;0.9999998807907104;0.14677123725414276;0.5059523582458496;0.9549223780632019;0.511160671710968;0.0200892835855484
Networks/UKBiobank/GTEx_networks/GenNet_balding_ukbb_1000005007/model_architecture.txt ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Model: "model"
2
+ _________________________________________________________________
3
+ Layer (type) Output Shape Param #
4
+ =================================================================
5
+ inputs_ (InputLayer) [(None, 6986636)] 0
6
+ _________________________________________________________________
7
+ reshape (Reshape) (None, 6986636, 1) 0
8
+ _________________________________________________________________
9
+ gene_layer (LocallyDirected1 (None, 21476, 1) 6668279
10
+ _________________________________________________________________
11
+ activation (Activation) (None, 21476, 1) 0
12
+ _________________________________________________________________
13
+ inter_out0 (BatchNormalizati (None, 21476, 1) 2
14
+ _________________________________________________________________
15
+ gtex_layer (LocallyDirected1 (None, 53, 1) 80249
16
+ _________________________________________________________________
17
+ activation_1 (Activation) (None, 53, 1) 0
18
+ _________________________________________________________________
19
+ inter_out1 (BatchNormalizati (None, 53, 1) 2
20
+ _________________________________________________________________
21
+ flatten (Flatten) (None, 53) 0
22
+ _________________________________________________________________
23
+ dense_layer (Dense) (None, 1) 54
24
+ _________________________________________________________________
25
+ activation_2 (Activation) (None, 1) 0
26
+ =================================================================
27
+ Total params: 6,748,586
28
+ Trainable params: 6,748,582
29
+ Non-trainable params: 4
30
+ _________________________________________________________________
Networks/UKBiobank/GTEx_networks/GenNet_breastcancer_ukbb_1000004025/bestweight_job.h5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1356bd323c69af0d7217729741e4bcb0fd8428e9244f26f26dbd77775c8ad3ac
3
+ size 81030436
Networks/UKBiobank/GTEx_networks/GenNet_breastcancer_ukbb_1000004025/log.csv ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch;accuracy;loss;sensitivity;specificity;val_accuracy;val_loss;val_sensitivity;val_specificity
2
+ 0;0.49405646324157715;0.9681018590927124;0.9884330630302429;0.008522724732756615;0.5;1.0453715324401855;0.5714283585548401;0.0
3
+ 1;0.49554234743118286;0.9543423652648926;0.9999994039535522;0.0;0.5;1.0452055931091309;0.5714283585548401;0.0
4
+ 2;0.49554234743118286;0.947862982749939;0.9999994039535522;0.0;0.5;1.0450245141983032;0.5714283585548401;0.0
5
+ 3;0.49554234743118286;0.9422712326049805;0.9999994039535522;0.0;0.5;1.044832706451416;0.5714283585548401;0.0
6
+ 4;0.49777117371559143;0.9354810118675232;0.9999994039535522;0.00411450257524848;0.5;1.0445302724838257;0.5714283585548401;0.0
7
+ 5;0.5;0.930348813533783;0.9999994039535522;0.0093637490645051;0.5;1.04422128200531;0.5714283585548401;0.0
8
+ 6;0.5007429122924805;0.9260269403457642;0.9999994039535522;0.00942939892411232;0.5;1.043956995010376;0.5714283585548401;0.0
9
+ 7;0.5089153051376343;0.9218108057975769;0.954545259475708;0.02495979517698288;0.5;1.043595552444458;0.5714283585548401;0.0
10
+ 8;0.5089153051376343;0.9159339070320129;0.9999994039535522;0.025818871334195137;0.5;1.0432389974594116;0.5714283585548401;0.0
11
+ 9;0.5118870735168457;0.9096595048904419;0.954545259475708;0.030274247750639915;0.5;1.0429426431655884;0.5714283585548401;0.0
12
+ 10;0.5133729577064514;0.9061020612716675;0.9999996423721313;0.033615075051784515;0.5;1.0420156717300415;0.5714283585548401;0.0
Networks/UKBiobank/GTEx_networks/GenNet_breastcancer_ukbb_1000004025/model_architecture.txt ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Model: "model"
2
+ _________________________________________________________________
3
+ Layer (type) Output Shape Param #
4
+ =================================================================
5
+ inputs_ (InputLayer) [(None, 6986636)] 0
6
+ _________________________________________________________________
7
+ reshape (Reshape) (None, 6986636, 1) 0
8
+ _________________________________________________________________
9
+ gene_layer (LocallyDirected1 (None, 21476, 1) 6668279
10
+ _________________________________________________________________
11
+ activation (Activation) (None, 21476, 1) 0
12
+ _________________________________________________________________
13
+ inter_out0 (BatchNormalizati (None, 21476, 1) 2
14
+ _________________________________________________________________
15
+ gtex_layer (LocallyDirected1 (None, 53, 1) 80249
16
+ _________________________________________________________________
17
+ activation_1 (Activation) (None, 53, 1) 0
18
+ _________________________________________________________________
19
+ inter_out1 (BatchNormalizati (None, 53, 1) 2
20
+ _________________________________________________________________
21
+ flatten (Flatten) (None, 53) 0
22
+ _________________________________________________________________
23
+ dense_layer (Dense) (None, 1) 54
24
+ _________________________________________________________________
25
+ activation_2 (Activation) (None, 1) 0
26
+ =================================================================
27
+ Total params: 6,748,586
28
+ Trainable params: 6,748,582
29
+ Non-trainable params: 4
30
+ _________________________________________________________________
Networks/UKBiobank/GTEx_networks/GenNet_hypertension_ukbb_1000004013/bestweight_job_hypertension.h5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ca5fcb6815a880c8a2bd1661732dafa6b4785cea54c2d6fcfa76719027c1990
3
+ size 81030436
Networks/UKBiobank/GTEx_networks/GenNet_hypertension_ukbb_1000004013/log.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ epoch;accuracy;loss;sensitivity;specificity;val_accuracy;val_loss;val_sensitivity;val_specificity
2
+ 0;0.5066851377487183;0.9617306590080261;0.9997416138648987;0.0007040383061394095;0.5;1.0296586751937866;0.5039999485015869;0.0
3
+ 1;0.5066851377487183;0.9532879590988159;0.9999999403953552;0.00014513933274429291;0.5;0.9630538821220398;0.5039999485015869;0.0
Networks/UKBiobank/GTEx_networks/GenNet_hypertension_ukbb_1000004013/model_architecture.txt ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Model: "model"
2
+ _________________________________________________________________
3
+ Layer (type) Output Shape Param #
4
+ =================================================================
5
+ inputs_ (InputLayer) [(None, 6986636)] 0
6
+ _________________________________________________________________
7
+ reshape (Reshape) (None, 6986636, 1) 0
8
+ _________________________________________________________________
9
+ gene_layer (LocallyDirected1 (None, 21476, 1) 6668279
10
+ _________________________________________________________________
11
+ activation (Activation) (None, 21476, 1) 0
12
+ _________________________________________________________________
13
+ inter_out0 (BatchNormalizati (None, 21476, 1) 2
14
+ _________________________________________________________________
15
+ gtex_layer (LocallyDirected1 (None, 53, 1) 80249
16
+ _________________________________________________________________
17
+ activation_1 (Activation) (None, 53, 1) 0
18
+ _________________________________________________________________
19
+ inter_out1 (BatchNormalizati (None, 53, 1) 2
20
+ _________________________________________________________________
21
+ flatten (Flatten) (None, 53) 0
22
+ _________________________________________________________________
23
+ dense_layer (Dense) (None, 1) 54
24
+ _________________________________________________________________
25
+ activation_2 (Activation) (None, 1) 0
26
+ =================================================================
27
+ Total params: 6,748,586
28
+ Trainable params: 6,748,582
29
+ Non-trainable params: 4
30
+ _________________________________________________________________
Networks/UKBiobank/Gene Networks/.DS_Store ADDED
Binary file (6.15 kB). View file
 
Networks/UKBiobank/Gene Networks/Ref Gene/.DS_Store ADDED
Binary file (6.15 kB). View file
 
Networks/UKBiobank/Gene Networks/Ref Gene/GenNet_diabetes_ukbb_1000000056/.DS_Store ADDED
Binary file (6.15 kB). View file
 
Networks/UKBiobank/Gene Networks/Ref Gene/GenNet_diabetes_ukbb_1000000056/bestweight_job_diabetes.h5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7bf60a37d835394d3bf19a62dfff6bd8520a58764c6c5056a616cc6df9aa6de4
3
+ size 80284556
Networks/UKBiobank/Gene Networks/Ref Gene/GenNet_diabetes_ukbb_1000000056/log.csv ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch;accuracy;loss;sensitivity;specificity;val_accuracy;val_loss;val_sensitivity;val_specificity
2
+ 0;0.5070694088935852;0.7827457785606384;0.47199973464012146;0.5431810021400452;0.527999997138977;0.7773725390434265;0.23775538802146912;0.32727858424186707
3
+ 1;0.5591259598731995;0.7703530788421631;0.48643964529037476;0.6360915899276733;0.5379999876022339;0.7693557739257812;0.291090726852417;0.28294265270233154
4
+ 2;0.602185070514679;0.7610148787498474;0.47239193320274353;0.7358304262161255;0.5400000214576721;0.7633764743804932;0.29184192419052124;0.27968746423721313
5
+ 3;0.6330333948135376;0.7535899877548218;0.4680996835231781;0.8052193522453308;0.5370000004768372;0.758832573890686;0.2621694505214691;0.3110676407814026
6
+ 4;0.6645244359970093;0.7475869655609131;0.4916357696056366;0.8428413271903992;0.5320000052452087;0.7552797794342041;0.2324218451976776;0.34029942750930786
7
+ 5;0.6738432049751282;0.7431023716926575;0.49986499547958374;0.8649262189865112;0.5299999713897705;0.7524098753929138;0.19951921701431274;0.37539055943489075
8
+ 6;0.692480742931366;0.7385061979293823;0.4958249628543854;0.8917516469955444;0.5289999842643738;0.7500197291374207;0.182692289352417;0.3916015028953552
9
+ 7;0.7072622179985046;0.7351536154747009;0.5199806690216064;0.9104897379875183;0.5239999890327454;0.7479488849639893;0.14738580584526062;0.4214842915534973
10
+ 8;0.7140102982521057;0.7319608330726624;0.5285679697990417;0.9106392860412598;0.5189999938011169;0.7460976839065552;0.12913160026073456;0.43958327174186707
11
+ 9;0.7239717245101929;0.729082465171814;0.5405352115631104;0.9197143316268921;0.5320000052452087;0.7443930506706238;0.11598556488752365;0.4721353352069855
12
+ 10;0.7445372939109802;0.7262818217277527;0.5686386823654175;0.9267577528953552;0.5289999842643738;0.7427693605422974;0.1089242696762085;0.4760415852069855
13
+ 11;0.7419666051864624;0.7238003015518188;0.5668444633483887;0.9305825233459473;0.5320000052452087;0.7412378191947937;0.1069711446762085;0.48151034116744995
14
+ 12;0.7438945770263672;0.7220684289932251;0.5825258493423462;0.9298105835914612;0.5379999876022339;0.7398049831390381;0.1069711446762085;0.48736971616744995
15
+ 13;0.7522493600845337;0.7197203040122986;0.5804916024208069;0.9336543083190918;0.5419999957084656;0.7384956479072571;0.1050180196762085;0.49381500482559204
16
+ 14;0.76606684923172;0.7174944877624512;0.6096560955047607;0.9310356378555298;0.5370000004768372;0.7373301982879639;0.1001352071762085;0.49381500482559204
17
+ 15;0.7779563069343567;0.7157647013664246;0.631719172000885;0.9335322976112366;0.5370000004768372;0.7363260388374329;0.09698015451431274;0.49674469232559204
18
+ 16;0.7847043871879578;0.713801920413971;0.6395047307014465;0.9370325207710266;0.5379999876022339;0.7354612946510315;0.09795671701431274;0.49674469232559204
19
+ 17;0.7885603904724121;0.7124775648117065;0.6476280093193054;0.9371076822280884;0.5370000004768372;0.7347359657287598;0.09795671701431274;0.49576812982559204
20
+ 18;0.7937018275260925;0.7109024524688721;0.6604342460632324;0.9367828965187073;0.5400000214576721;0.7341480255126953;0.09600359201431274;0.500650942325592
21
+ 19;0.8152313828468323;0.7091524004936218;0.6985170841217041;0.9375221729278564;0.5400000214576721;0.733614981174469;0.09600359201431274;0.500650942325592
22
+ 20;0.8033419251441956;0.7080896496772766;0.6841047406196594;0.9328306317329407;0.5400000214576721;0.7331660389900208;0.09600359201431274;0.500650942325592
23
+ 21;0.8161953687667847;0.7066342234611511;0.7118456959724426;0.9379916191101074;0.5410000085830688;0.7327595353126526;0.09405046701431274;0.5041666030883789
24
+ 22;0.8187660574913025;0.7054758071899414;0.7146060466766357;0.9388771057128906;0.5419999957084656;0.732414960861206;0.09502702951431274;0.5041666030883789
25
+ 23;0.8386889696121216;0.7039451599121094;0.7528937458992004;0.9380594491958618;0.5419999957084656;0.7320793867111206;0.09600359201431274;0.5031900405883789
26
+ 24;0.8467223644256592;0.702392041683197;0.7653989195823669;0.9394407272338867;0.5429999828338623;0.7317841649055481;0.09600359201431274;0.5041666030883789
27
+ 25;0.8319408893585205;0.7017075419425964;0.7379392385482788;0.9382323622703552;0.5419999957084656;0.731573224067688;0.09405046701431274;0.5051431655883789
28
+ 26;0.8361182808876038;0.7007115483283997;0.7522002458572388;0.9366603493690491;0.5419999957084656;0.7313641309738159;0.09209734201431274;0.5070962905883789
29
+ 27;0.8586118221282959;0.699108362197876;0.7928873300552368;0.9371654987335205;0.5440000295639038;0.7311710119247437;0.09405046701431274;0.5070962905883789
30
+ 28;0.8621465563774109;0.6979422569274902;0.800331175327301;0.9369015693664551;0.5429999828338623;0.7309630513191223;0.09600359201431274;0.5041666030883789
31
+ 29;0.8595758080482483;0.6974986791610718;0.8038008809089661;0.9402596354484558;0.5450000166893005;0.7308154702186584;0.09795671701431274;0.5041666030883789
32
+ 30;0.8801413774490356;0.6955660581588745;0.8291967511177063;0.939568817615509;0.5450000166893005;0.730653703212738;0.09795671701431274;0.5041666030883789
33
+ 31;0.8801413774490356;0.6945509910583496;0.8302485942840576;0.9401984810829163;0.5460000038146973;0.7305479645729065;0.09698015451431274;0.5061197280883789
34
+ 32;0.8849614262580872;0.6938409805297852;0.8411983847618103;0.9385690689086914;0.5450000166893005;0.7304418087005615;0.09698015451431274;0.5051431655883789
35
+ 33;0.8823907375335693;0.692706823348999;0.8336250185966492;0.9404133558273315;0.5440000295639038;0.7303656935691833;0.09600359201431274;0.5051431655883789
36
+ 34;0.8798200488090515;0.6917641162872314;0.8337972164154053;0.9395378828048706;0.5440000295639038;0.7303056716918945;0.09600359201431274;0.5051431655883789
37
+ 35;0.894280195236206;0.6904389262199402;0.8570020794868469;0.9378945231437683;0.5440000295639038;0.7302466034889221;0.09600359201431274;0.5051431655883789
38
+ 36;0.8872107863426208;0.6896411776542664;0.8466998338699341;0.9417210221290588;0.5479999780654907;0.7301756739616394;0.1001352071762085;0.5051431655883789
39
+ 37;0.9019922614097595;0.688773512840271;0.8729651570320129;0.9399383068084717;0.546999990940094;0.7301276922225952;0.0991586446762085;0.5051431655883789
40
+ 38;0.8965295553207397;0.687712550163269;0.8629183173179626;0.9406430125236511;0.5479999780654907;0.7301000952720642;0.0991586446762085;0.5061197280883789
41
+ 39;0.9106683731079102;0.6867356300354004;0.8877564072608948;0.9410995244979858;0.5450000166893005;0.7300569415092468;0.1011117696762085;0.500650942325592
42
+ 40;0.9100257158279419;0.6858185529708862;0.8856377601623535;0.9418697953224182;0.546999990940094;0.7300354838371277;0.0991586446762085;0.504557192325592
43
+ 41;0.894280195236206;0.6857510805130005;0.8683952689170837;0.9394053816795349;0.5460000038146973;0.7300367951393127;0.1001352071762085;0.502604067325592
44
+ 42;0.9052056670188904;0.6840806007385254;0.8761525750160217;0.9393755197525024;0.5460000038146973;0.7300187349319458;0.1011117696762085;0.501627504825592
45
+ 43;0.9180591106414795;0.682997465133667;0.9026792049407959;0.9420048594474792;0.5460000038146973;0.7300317883491516;0.1030648946762085;0.49544262886047363
46
+ 44;0.9193444848060608;0.6823300719261169;0.9056515693664551;0.9431365132331848;0.5460000038146973;0.7300187349319458;0.1030648946762085;0.49544262886047363
47
+ 45;0.9251285195350647;0.681179940700531;0.9134877324104309;0.9410623908042908;0.5450000166893005;0.7300604581832886;0.1030648946762085;0.49446606636047363
48
+ 46;0.9276992082595825;0.6806813478469849;0.9180033206939697;0.9434204697608948;0.5460000038146973;0.7300528883934021;0.1069711446762085;0.49153637886047363
49
+ 47;0.9219151735305786;0.6797054409980774;0.9072901606559753;0.941711962223053;0.5419999957084656;0.7301295399665833;0.0981820821762085;0.500650942325592
50
+ 48;0.9206297993659973;0.6790177822113037;0.9052615165710449;0.9404183030128479;0.5419999957084656;0.7301624417304993;0.1001352071762085;0.49446606636047363
51
+ 49;0.9299485683441162;0.6778771281242371;0.9236831068992615;0.9425634145736694;0.5440000295639038;0.7301827669143677;0.1040414571762085;0.49251294136047363
Networks/UKBiobank/Gene Networks/Ref Gene/GenNet_diabetes_ukbb_1000000056/model_architecture.txt ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Model: "model"
2
+ _________________________________________________________________
3
+ Layer (type) Output Shape Param #
4
+ =================================================================
5
+ inputs_ (InputLayer) [(None, 6986636)] 0
6
+ _________________________________________________________________
7
+ reshape (Reshape) (None, 6986636, 1) 0
8
+ _________________________________________________________________
9
+ gene_layer (LocallyDirected1 (None, 15827, 1) 6661236
10
+ _________________________________________________________________
11
+ flatten (Flatten) (None, 15827) 0
12
+ _________________________________________________________________
13
+ activation (Activation) (None, 15827) 0
14
+ _________________________________________________________________
15
+ inter_out (BatchNormalizatio (None, 15827) 31654
16
+ _________________________________________________________________
17
+ dense (Dense) (None, 1) 15828
18
+ _________________________________________________________________
19
+ activation_1 (Activation) (None, 1) 0
20
+ =================================================================
21
+ Total params: 6,708,718
22
+ Trainable params: 6,677,064
23
+ Non-trainable params: 31,654
24
+ _________________________________________________________________
Networks/UKBiobank/Gene Networks/Ref Gene/GenNet_diabetes_ukbb_1000000056/train_val_loss.png ADDED
Networks/UKBiobank/Imm_networks/.DS_Store ADDED
Binary file (6.15 kB). View file
 
Networks/UKBiobank/Imm_networks/GenNet_AF_ukbb_1020004000/.DS_Store ADDED
Binary file (6.15 kB). View file
 
Networks/UKBiobank/Imm_networks/GenNet_AF_ukbb_1020004000/bestweight_job_AF.h5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8606aee23a303a5c0472e076212df881b46a1a75872410f1606ddba02fa4a21f
3
+ size 83868708
Networks/UKBiobank/Imm_networks/GenNet_AF_ukbb_1020004000/log.csv ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch;accuracy;loss;sensitivity;specificity;val_accuracy;val_loss;val_sensitivity;val_specificity
2
+ 0;0.47826087474823;3.26814866065979;0.862872838973999;0.10314086824655533;0.5;3.2769105434417725;0.49999985098838806;0.0
3
+ 1;0.4956521689891815;3.2181506156921387;0.9999996423721313;0.0;0.5;3.2555742263793945;0.49999985098838806;0.0
4
+ 2;0.4956521689891815;3.177743434906006;0.9999996423721313;0.0;0.5;3.2341694831848145;0.49999985098838806;0.0
5
+ 3;0.4956521689891815;3.143030881881714;0.9999996423721313;0.0;0.5;3.2127397060394287;0.49999985098838806;0.0
6
+ 4;0.4956521689891815;3.1140620708465576;0.9999996423721313;0.0;0.5;3.191309690475464;0.49999985098838806;0.0
7
+ 5;0.4956521689891815;3.087454080581665;0.9999995827674866;0.0;0.5;3.1698944568634033;0.49999985098838806;0.0
8
+ 6;0.4956521689891815;3.062751054763794;0.9999996423721313;0.0;0.5;3.1484997272491455;0.49999985098838806;0.0
9
+ 7;0.4956521689891815;3.0367321968078613;0.9999996423721313;0.0;0.5;3.1271400451660156;0.49999985098838806;0.0
10
+ 8;0.4956521689891815;3.0122878551483154;0.9999996423721313;0.0;0.5;3.105822801589966;0.49999985098838806;0.0
11
+ 9;0.4956521689891815;2.9853341579437256;0.9999996423721313;0.0;0.5;3.0845537185668945;0.49999985098838806;0.0
12
+ 10;0.4956521689891815;2.9628305435180664;0.9999996423721313;0.0;0.5;3.0633325576782227;0.49999985098838806;0.0
13
+ 11;0.4956521689891815;2.937122106552124;0.9999996423721313;0.0;0.5;3.042168140411377;0.49999985098838806;0.0
14
+ 12;0.4956521689891815;2.913076877593994;0.9999996423721313;0.0;0.5;3.021063804626465;0.49999985098838806;0.0
15
+ 13;0.4956521689891815;2.8886654376983643;0.9999996423721313;0.0;0.5;3.0000152587890625;0.49999985098838806;0.0
16
+ 14;0.4956521689891815;2.863119125366211;0.9999995827674866;0.0;0.5;2.9790306091308594;0.49999985098838806;0.0
17
+ 15;0.4956521689891815;2.8398709297180176;0.9999995827674866;0.0;0.5;2.9581165313720703;0.49999985098838806;0.0
18
+ 16;0.4956521689891815;2.815748691558838;0.9999996423721313;0.0;0.5;2.937256336212158;0.49999985098838806;0.0
19
+ 17;0.4956521689891815;2.7912490367889404;0.9999995827674866;0.0;0.5;2.91648006439209;0.49999985098838806;0.0
20
+ 18;0.4956521689891815;2.765676736831665;0.9999996423721313;0.0;0.5;2.895763635635376;0.49999985098838806;0.0
21
+ 19;0.4956521689891815;2.7415897846221924;0.9999997019767761;0.0;0.5;2.8751237392425537;0.49999985098838806;0.0
22
+ 20;0.4956521689891815;2.719367742538452;0.9999996423721313;0.0;0.5;2.854552745819092;0.49999985098838806;0.0
23
+ 21;0.4956521689891815;2.6955161094665527;0.9999996423721313;0.0;0.5;2.834059476852417;0.49999985098838806;0.0
24
+ 22;0.4956521689891815;2.6708788871765137;0.9999996423721313;0.0;0.5;2.813666820526123;0.49999985098838806;0.0
25
+ 23;0.4956521689891815;2.6460797786712646;0.9999995827674866;0.0;0.5;2.7933545112609863;0.49999985098838806;0.0
26
+ 24;0.4956521689891815;2.6243231296539307;0.9999996423721313;0.0;0.5;2.773120164871216;0.49999985098838806;0.0
27
+ 25;0.4956521689891815;2.601069927215576;0.9999996423721313;0.0;0.5;2.7529654502868652;0.49999985098838806;0.0
28
+ 26;0.4956521689891815;2.576200008392334;0.9999996423721313;0.0;0.5;2.7328882217407227;0.49999985098838806;0.0
29
+ 27;0.4956521689891815;2.5528018474578857;0.9999996423721313;0.0;0.5;2.7128968238830566;0.49999985098838806;0.0
30
+ 28;0.4956521689891815;2.5299315452575684;0.9999995231628418;0.0;0.5;2.693037271499634;0.49999985098838806;0.0
31
+ 29;0.4956521689891815;2.505817174911499;0.9999996423721313;0.0;0.5;2.673215866088867;0.49999985098838806;0.0
32
+ 30;0.4956521689891815;2.4822638034820557;0.9999996423721313;0.0;0.5;2.6535279750823975;0.49999985098838806;0.0
33
+ 31;0.5043478012084961;2.4587929248809814;0.9999996423721313;0.018518511205911636;0.5;2.6339149475097656;0.49999985098838806;0.0
34
+ 32;0.4956521689891815;2.4355781078338623;0.9999995827674866;0.0;0.5;2.6144328117370605;0.49999985098838806;0.0
35
+ 33;0.508695662021637;2.4122750759124756;0.9999996423721313;0.030330868437886238;0.5;2.594992160797119;0.49999985098838806;0.0
36
+ 34;0.508695662021637;2.38920259475708;0.9999996423721313;0.022095952183008194;0.5;2.5756819248199463;0.49999985098838806;0.0
37
+ 35;0.508695662021637;2.3638439178466797;0.9999996423721313;0.028086582198739052;0.5;2.5564653873443604;0.49999985098838806;0.0
38
+ 36;0.508695662021637;2.3419899940490723;0.9999996423721313;0.025240376591682434;0.5;2.5373518466949463;0.49999985098838806;0.0
39
+ 37;0.508695662021637;2.31990647315979;0.9999996423721313;0.023225950077176094;0.5;2.5183186531066895;0.49999985098838806;0.0
40
+ 38;0.508695662021637;2.29653263092041;0.9999996423721313;0.02354069985449314;0.5;2.499408483505249;0.49999985098838806;0.0
41
+ 39;0.508695662021637;2.27262282371521;0.9999997019767761;0.022504448890686035;0.5;2.4805824756622314;0.49999985098838806;0.0
42
+ 40;0.508695662021637;2.249544620513916;0.9999996423721313;0.02290639653801918;0.5;2.4618680477142334;0.49999985098838806;0.0
43
+ 41;0.508695662021637;2.2273519039154053;0.9999996423721313;0.023326564580202103;0.5;2.4432566165924072;0.49999985098838806;0.0
44
+ 42;0.508695662021637;2.2050271034240723;0.9999996423721313;0.02320075035095215;0.5;2.4247543811798096;0.49999985098838806;0.0
45
+ 43;0.508695662021637;2.183293104171753;0.9999996423721313;0.02111613191664219;0.5;2.4063990116119385;0.49999985098838806;0.0
46
+ 44;0.508695662021637;2.160658359527588;0.9999995827674866;0.021638648584485054;0.5;2.388131856918335;0.49999985098838806;0.0
47
+ 45;0.508695662021637;2.137160539627075;0.9999996423721313;0.026785705238580704;0.5;2.369965076446533;0.49999985098838806;0.0
48
+ 46;0.5130434632301331;2.116363525390625;0.9999996423721313;0.0259216520935297;0.5;2.351893901824951;0.49999985098838806;0.0
49
+ 47;0.5130434632301331;2.092094659805298;0.9999996423721313;0.037723198533058167;0.5;2.333930492401123;0.49999985098838806;0.0
Networks/UKBiobank/Imm_networks/GenNet_AF_ukbb_1020004000/model_architecture.txt ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Model: "model"
2
+ _________________________________________________________________
3
+ Layer (type) Output Shape Param #
4
+ =================================================================
5
+ inputs_ (InputLayer) [(None, 6986636)] 0
6
+ _________________________________________________________________
7
+ reshape (Reshape) (None, 6986636, 1) 0
8
+ _________________________________________________________________
9
+ gene_layer (LocallyDirected1 (None, 21476, 1) 6668279
10
+ _________________________________________________________________
11
+ activation (Activation) (None, 21476, 1) 0
12
+ _________________________________________________________________
13
+ inter_out0 (BatchNormalizati (None, 21476, 1) 2
14
+ _________________________________________________________________
15
+ gtex_layer (LocallyDirected1 (None, 292, 1) 316342
16
+ _________________________________________________________________
17
+ activation_1 (Activation) (None, 292, 1) 0
18
+ _________________________________________________________________
19
+ inter_out1 (BatchNormalizati (None, 292, 1) 2
20
+ _________________________________________________________________
21
+ flatten (Flatten) (None, 292) 0
22
+ _________________________________________________________________
23
+ dense_layer (Dense) (None, 1) 293
24
+ _________________________________________________________________
25
+ activation_2 (Activation) (None, 1) 0
26
+ =================================================================
27
+ Total params: 6,984,918
28
+ Trainable params: 6,984,914
29
+ Non-trainable params: 4
30
+ _________________________________________________________________
Networks/UKBiobank/Imm_networks/GenNet_CAD_ukbb_1010004001/.DS_Store ADDED
Binary file (6.15 kB). View file
 
Networks/UKBiobank/Imm_networks/GenNet_CAD_ukbb_1010004001/bestweight_job_Imm_CAD.h5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0bff3d2cd649cc2b52db2a58bceede0e415c6621d3e05713aeee55588cb2e263
3
+ size 83868708
Networks/UKBiobank/Imm_networks/GenNet_CAD_ukbb_1010004001/log.csv ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch;accuracy;loss;sensitivity;specificity;val_accuracy;val_loss;val_sensitivity;val_specificity
2
+ 0;0.4940813183784485;3.157158613204956;0.952655553817749;0.04471004381775856;0.5;3.143937349319458;0.49999991059303284;0.0
3
+ 1;0.49047863483428955;2.979886054992676;0.9999998211860657;0.0;0.5;2.984928607940674;0.49999991059303284;0.0
4
+ 2;0.49047863483428955;2.8191561698913574;0.9999998211860657;0.0;0.5;2.8301336765289307;0.49999991059303284;0.0
5
+ 3;0.49047863483428955;2.6599042415618896;0.9999998807907104;0.0;0.5;2.680325746536255;0.49999991059303284;0.0
6
+ 4;0.49047863483428955;2.5117249488830566;0.9999998807907104;0.0;0.5;2.5359065532684326;0.49999991059303284;0.0
7
+ 5;0.49047863483428955;2.3658621311187744;0.9999998211860657;0.0;0.5;2.3974413871765137;0.49999991059303284;0.0
8
+ 6;0.49047863483428955;2.224579334259033;0.9999998807907104;0.0;0.5;2.2652368545532227;0.49999991059303284;0.0
9
+ 7;0.49047863483428955;2.093456506729126;0.9999998807907104;0.0;0.5;2.139338970184326;0.49999991059303284;0.0
10
+ 8;0.49150797724723816;1.9667186737060547;0.9999998807907104;0.002189460676163435;0.5;2.020604133605957;0.49999991059303284;0.0
11
+ 9;0.4940813183784485;1.8473541736602783;0.9999998807907104;0.006866068579256535;0.5;1.9083541631698608;0.49999991059303284;0.0
12
+ 10;0.5002573132514954;1.7376770973205566;0.9999998807907104;0.019039185717701912;0.5;1.8035573959350586;0.49999991059303284;0.0
13
+ 11;0.49819865822792053;1.633844017982483;0.9999998807907104;0.015311268158257008;0.5;1.7070380449295044;0.49999991059303284;0.0
14
+ 12;0.5033453702926636;1.53671133518219;0.9999998807907104;0.029805080965161324;0.5016393661499023;1.6164613962173462;0.49999991059303284;0.0029411755967885256
15
+ 13;0.5038599967956543;1.4499248266220093;0.9990223050117493;0.02621261589229107;0.5016393661499023;1.5328048467636108;0.49999991059303284;0.0029411755967885256
16
+ 14;0.5048893690109253;1.3683888912200928;0.9999998807907104;0.027500880882143974;0.5049180388450623;1.458768367767334;0.49639663100242615;0.009191174991428852
17
+ 15;0.5048893690109253;1.2963194847106934;0.9989246129989624;0.030833419412374496;0.5049180388450623;1.3909858465194702;0.4927932620048523;0.017420336604118347
18
+ 16;0.5048893690109253;1.2314761877059937;0.9971386194229126;0.0318140871822834;0.5049180388450623;1.3260529041290283;0.49639663100242615;0.009191174991428852
19
+ 17;0.5048893690109253;1.1762202978134155;0.999022364616394;0.028997674584388733;0.5065574049949646;1.2776212692260742;0.4927932620048523;0.018982836976647377
20
+ 18;0.5048893690109253;1.1283302307128906;0.9961996674537659;0.030784450471401215;0.5065574049949646;1.2235684394836426;0.4943557679653168;0.017420336604118347
21
+ 19;0.5048893690109253;1.0889812707901;0.995793879032135;0.031550485640764236;0.5065574049949646;1.1897212266921997;0.4927932620048523;0.018982836976647377
22
+ 20;0.5048893690109253;1.0574698448181152;0.995059072971344;0.03259354457259178;0.5049180388450623;1.1562378406524658;0.4927932620048523;0.017420336604118347
23
+ 21;0.505403995513916;1.0329622030258179;0.9946095943450928;0.035853322595357895;0.5065574049949646;1.1368645429611206;0.4927932620048523;0.018982836976647377
Networks/UKBiobank/Imm_networks/GenNet_CAD_ukbb_1010004001/model_architecture.txt ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Model: "model"
2
+ _________________________________________________________________
3
+ Layer (type) Output Shape Param #
4
+ =================================================================
5
+ inputs_ (InputLayer) [(None, 6986636)] 0
6
+ _________________________________________________________________
7
+ reshape (Reshape) (None, 6986636, 1) 0
8
+ _________________________________________________________________
9
+ gene_layer (LocallyDirected1 (None, 21476, 1) 6668279
10
+ _________________________________________________________________
11
+ activation (Activation) (None, 21476, 1) 0
12
+ _________________________________________________________________
13
+ inter_out0 (BatchNormalizati (None, 21476, 1) 2
14
+ _________________________________________________________________
15
+ gtex_layer (LocallyDirected1 (None, 292, 1) 316342
16
+ _________________________________________________________________
17
+ activation_1 (Activation) (None, 292, 1) 0
18
+ _________________________________________________________________
19
+ inter_out1 (BatchNormalizati (None, 292, 1) 2
20
+ _________________________________________________________________
21
+ flatten (Flatten) (None, 292) 0
22
+ _________________________________________________________________
23
+ dense_layer (Dense) (None, 1) 293
24
+ _________________________________________________________________
25
+ activation_2 (Activation) (None, 1) 0
26
+ =================================================================
27
+ Total params: 6,984,918
28
+ Trainable params: 6,984,914
29
+ Non-trainable params: 4
30
+ _________________________________________________________________