fatmacankara commited on
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2dabb60
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1 Parent(s): baeb829

Update pages/2_About.py

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  1. pages/2_About.py +6 -1
pages/2_About.py CHANGED
@@ -21,7 +21,12 @@ st.markdown(f'<p class="title-text">{text}</p>', unsafe_allow_html=True)
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  text = 'Please refer to our pre-print article for more information on the construction of feature vectors, statistical analysis of features, and machine learning models trained on ASCARIS representations to predict the effect of SAVs:'
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  st.markdown(f'<p class="title-text">{text}</p>', unsafe_allow_html=True)
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- text = '[www.google.com](Cankara, F., & Dogan, T. (2022). ASCARIS: Positional Feature Annotation and Protein Structure-Based Representation of Single Amino Acid Variations. bioRxiv, 514934v1)'
 
 
 
 
 
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  st.markdown(f'<p class="title-text">{text}</p>', unsafe_allow_html=True)
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  st.image('visuals/concept_figure.png')
 
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  text = 'Please refer to our pre-print article for more information on the construction of feature vectors, statistical analysis of features, and machine learning models trained on ASCARIS representations to predict the effect of SAVs:'
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  st.markdown(f'<p class="title-text">{text}</p>', unsafe_allow_html=True)
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+
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+ text = '(www.google.com)[Cankara, F., & Dogan, T. (2022). ASCARIS: Positional Feature Annotation and Protein Structure-Based Representation of Single Amino Acid Variations. bioRxiv, 514934v1]'
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+ st.markdown(f'<p class="title-text">{text}</p>', unsafe_allow_html=True)
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+
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+
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+ text = '[Cankara, F., & Dogan, T. (2022). ASCARIS: Positional Feature Annotation and Protein Structure-Based Representation of Single Amino Acid Variations. bioRxiv, 514934v1](www.google.com)'
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  st.markdown(f'<p class="title-text">{text}</p>', unsafe_allow_html=True)
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  st.image('visuals/concept_figure.png')