added count for targets for all genes and ran multiple classification models for all of the genes and target as a start
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45
X_categories
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45
X_categories
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Created on Fri Mar 4 15:09:37 2022
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@author: tanu
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"""
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X_categ_str = ['ss_class'
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, 'wt_prop_water'
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, 'mut_prop_water'
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, 'wt_prop_polarity'
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, 'mut_prop_polarity'
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, 'wt_calcprop'
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, 'mut_calcprop'
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, 'active_aa_pos']
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# only valid if we use merged_df2
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X_categ_str_lin = X_categ_str + ['lineage_labels']
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X_categ_foldx = ['contacts'
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'electro_rr'
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'electro_mm'
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'electro_sm'
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'electro_ss'
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'disulfide_rr'
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'disulfide_mm'
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'disulfide_sm'
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'disulfide_ss'
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'hbonds_rr'
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'hbonds_mm'
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'hbonds_sm'
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'hbonds_ss'
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'partcov_rr'
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'partcov_mm'
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'partcov_sm'
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'partcov_ss'
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'vdwclashes_rr'
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'vdwclashes_mm'
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'vdwclashes_sm'
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'vdwclashes_ss'
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'volumetric_rr'
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'volumetric_mm'
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'volumetric_sm'
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'volumetric_ss']
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