Arts-of-coding commited on
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f78e45e
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1 Parent(s): aa683d0

Update dash_plotly_QC_scRNA.py

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  1. dash_plotly_QC_scRNA.py +1 -5
dash_plotly_QC_scRNA.py CHANGED
@@ -394,14 +394,10 @@ def update_graph_and_pie_chart(batch_chosen, s_chosen, g2m_chosen, condition1_ch
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  # Melt wide format DataFrame into long format
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  # Specify batch column as string type and gene columns as float type
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- #list_conds = ["batch"]
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- #list_conds = list_conds.append(condition3_chosen)
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  list_conds = condition3_chosen
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  list_conds += ["batch"]
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  dff_pre = dff.select(list_conds)
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- #dff_pre = dff.select(["batch","Cdc45","Mcm2","Mcm5"])
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-
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  # Melt wide format DataFrame into long format
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  dff_long = dff_pre.melt(id_vars="batch", variable_name="Gene", value_name="Expression")
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@@ -458,7 +454,7 @@ def update_graph_and_pie_chart(batch_chosen, s_chosen, g2m_chosen, condition1_ch
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  #labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
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  hover_name='batch',template="seaborn")
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- fig_scatter_12 = px.scatter(data_frame=expression_means, x="batch", y="Gene", color="Expression",
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  #labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
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  hover_name='batch',template="seaborn")
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  # Melt wide format DataFrame into long format
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  # Specify batch column as string type and gene columns as float type
 
 
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  list_conds = condition3_chosen
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  list_conds += ["batch"]
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  dff_pre = dff.select(list_conds)
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  # Melt wide format DataFrame into long format
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  dff_long = dff_pre.melt(id_vars="batch", variable_name="Gene", value_name="Expression")
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  #labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
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  hover_name='batch',template="seaborn")
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+ fig_scatter_12 = px.scatter(data_frame=expression_means, x="Gene", y="Batch", color="Mean expression",
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  #labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
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  hover_name='batch',template="seaborn")
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