agenerated corr plots with MAF and provean
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6 changed files with 115 additions and 104 deletions
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@ -186,10 +186,16 @@ cat(s3)
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# make sure the above script works because merged_df2_combined is needed
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merged_df3 = as.data.frame(merged_df3)
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corr_df_m3_f = corr_data_extract(merged_df3, extract_scaled_cols = F)
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corr_df_m3_f = corr_data_extract(merged_df3
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, gene = gene
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, drug = drug
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, extract_scaled_cols = F)
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head(corr_df_m3_f)
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corr_df_m2_f = corr_data_extract(merged_df2, extract_scaled_cols = F)
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corr_df_m2_f = corr_data_extract(merged_df2
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, gene = gene
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, drug = drug
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, extract_scaled_cols = F)
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head(corr_df_m2_f)
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s4 = c("\nSuccessfully sourced Corr_data.R")
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@ -1,5 +1,9 @@
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merged_df3 = as.data.frame(merged_df3)
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corr_plotdf = corr_data_extract(merged_df3, extract_scaled_cols = F)
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corr_plotdf = corr_data_extract(merged_df3
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, gene = gene
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, drug = drug
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, extract_scaled_cols = F)
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colnames(corr_plotdf)
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#================
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# stability
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@ -9,12 +13,13 @@ corr_ps_colnames = c("DUET"
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, "DeepDDG"
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, "Dynamut2"
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, "MAF"
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, "Log (OR)"
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, "-Log (P)"
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, "Log(OR)"
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, "-Log(P)"
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#, "ligand_distance"
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, "dst_mode"
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, drug)
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corr_ps_colnames%in%colnames(corr_plotdf)
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corr_df_ps = corr_plotdf[, corr_ps_colnames]
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color_coln = which(colnames(corr_df_ps) == "dst_mode")
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@ -46,10 +51,10 @@ my_corr_pairs(corr_data_all = corr_df_ps
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dev.off()
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#####################################################
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DistCutOff = 10
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LigDist_colname # = "ligand_distance" # from globals
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ppi2Dist_colname = "interface_dist"
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naDist_colname = "TBC"
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#DistCutOff = 10
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#LigDist_colname # = "ligand_distance" # from globals
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#ppi2Dist_colname = "interface_dist"
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#naDist_colname = "TBC"
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#####################################################
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#================
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@ -57,14 +62,15 @@ naDist_colname = "TBC"
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#================
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corr_lig_colnames = c("mCSM-lig"
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, "MAF"
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, "Log (OR)"
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, "-Log (P)"
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, "ligand_distance"
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, "Log(OR)"
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, "-Log(P)"
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, "Lig-Dist"
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, "dst_mode"
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, drug)
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corr_lig_colnames%in%colnames(corr_plotdf)
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corr_df_lig = corr_plotdf[, corr_lig_colnames]
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corr_df_lig = corr_df_lig[corr_df_lig[[LigDist_colname]]<DistCutOff,]
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corr_df_lig = corr_df_lig[corr_df_lig["Lig-Dist"]<DistCutOff,]
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color_coln = which(colnames(corr_df_lig) == "dst_mode")
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end = which(colnames(corr_df_lig) == drug)
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@ -99,15 +105,15 @@ dev.off()
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#================
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corr_ppi2_colnames = c("mCSM-PPI2"
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, "MAF"
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, "Log (OR)"
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, "-Log (P)"
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, "interface_dist"
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, "Log(OR)"
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, "-Log(P)"
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, "PPI-Dist" # "interface_dist"
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, "dst_mode"
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, drug)
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corr_ppi2_colnames%in%colnames(corr_plotdf)
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corr_df_ppi2 = corr_plotdf[, corr_ppi2_colnames]
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corr_df_ppi2 = corr_df_ppi2[corr_df_ppi2[[ppi2Dist_colname]]<DistCutOff,]
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corr_df_ppi2 = corr_df_ppi2[corr_df_ppi2["PPI-Dist"]<DistCutOff,]
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color_coln = which(colnames(corr_df_ppi2) == "dst_mode")
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end = which(colnames(corr_df_ppi2) == drug)
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@ -146,10 +152,21 @@ dev.off()
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# FIXME: ADD PROVEAN
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####################################################
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# CONSERVATION
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corr_conservation_cols = c("ConSurf"
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, "SNAP2"
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, "PROVEAN"
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, "MAF"
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, "Log(OR)"
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, "-Log(P)"
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, "dst_mode"
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, drug)
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####################################################
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colnames(corr_plotdf)
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corr_conservation_cols%in%colnames(corr_plotdf)
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corr_df_cons = corr_plotdf[, corr_conservation_cols]
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color_coln = which(colnames(corr_df_cons) == "dst_mode")
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@ -111,7 +111,9 @@ df3 = merged_df3
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#df3[[consurf_colNew]] = as.factor(df3[[consurf_colNew]])
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#df3[[consurf_colNew]]
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# not this bit
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levels(df3$consurf_outcome) = c( "nsd", 1, 2, 3, 4, 5, 6, 7, 8, 9)
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#!!!!!!!!!!!!!1
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#levels(df3$consurf_outcome) = c( "nsd", 1, 2, 3, 4, 5, 6, 7, 8, 9)
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#levels(df3$consurf_outcome)
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# SNAP2 labels
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@ -242,9 +244,9 @@ corr_ppi2_colnames = c("mCSM-PPI2"
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, "dst_mode"
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, drug)
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#FIXME: Add provean
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corr_conservation_cols = c("Consurf"
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, "SNAP2"
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, "PROVEAN"
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, "MAF"
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, "Log (OR)"
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, "-Log (P)"
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