relaced ligand_distance with the variable
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1 changed files with 23 additions and 4 deletions
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@ -1,10 +1,27 @@
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#!/usr/bin/env Rscript
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#########################################################
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# TASK: Script to format data for Correlation plots:
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# corr_data_extract()
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# Input:
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# corr_plot_df: data with all parameters (my_use case)
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# merged_df3 or merged_df2!?
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# gene: [sanity check]
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# drug: relates to a column name that will need to extracted
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#colnames_to_extract = c("mutationinformation"
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# , "duet_affinity_change")
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#display_colnames_key = c(mutationinformation = "MUT"
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# , duet_affinity_change = "DUET")
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# extract_scaled_cols = T or F, so that parameters with the _scaled suffix can be extracted.
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# No formatting applied to these cols i.e display name
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# TO DO: SHINY
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#1) Corr type?
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#2)
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##################################################################
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corr_data_extract <- function(corr_plot_df
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, gene_name = gene
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#, gene_name = gene
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, drug_name = drug
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, colnames_to_extract
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, colnames_display_key
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@ -18,7 +35,7 @@ corr_data_extract <- function(corr_plot_df
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, "\n=========================================")
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cat("\nExtracting default columns for"
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, "\nGene name:", gene
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#, "\nGene name:", gene
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, "\nDrug name:", drug)
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colnames_to_extract = c(drug
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@ -26,7 +43,8 @@ corr_data_extract <- function(corr_plot_df
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, "mutation_info_labels"
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, "duet_stability_change"
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, "ligand_affinity_change"
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, "ligand_distance"
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#, "ligand_distance"
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, LigDist_colname
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, "ddg_foldx"
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, "deepddg"
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, "asa"
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@ -59,7 +77,8 @@ corr_data_extract <- function(corr_plot_df
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# arg: colnames_display_key
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colnames_display_key = c(duet_stability_change = "DUET"
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, ligand_affinity_change = "mCSM-lig"
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, ligand_distance = "ligand_distance"
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#, ligand_distance = "ligand_distance"
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#, LigDist_colname = "ligand_distance"
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, ddg_foldx = "FoldX"
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, deepddg = "DeepDDG"
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, asa = "ASA"
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