Man pages for bozdaglab/CTDPathSim2.0
Computing multi-omics driven similarity scores between patient tumor samples and cell lines for personalized medicine

estimate_meth_qpEstimate cell type specific methylation
estimate_props_qpEstimate cell type proportions
estimate_stabilityThis chunk of codes are taken from EDec paper Estimate...
find_best_permFind best permutation of correlation matrix
FindSimFunSample-cell line pathway activity-based similarity score
GetCellLineDAFunCell line-specific differentially aberrated (DA) genes
GetCellLineDEFunGetting cell line-specific differentially expressed (DE)...
GetCellLineDMFunCell line-specific differentially (DM) genes
GetPathFunEnriched biological pathways
GetSampleDEFunSample-specific differentially expressed (DE) genes
GetSampleDMFunSample-specific differentially methylated (DM) genes
pat_cnvCopy number data of patient tumor samples
perform_t_tests_all_classes_each_pairComparison of each pair of classes
perform_t_tests_all_classes_one_vs_restComparison of one class against all others
PlotDeconvMethylFunCorrelation plot to show the correlation between the...
ProbeToGeneFunConverting DNA methylation data from probes to genes
RunDeconvExprFunDeconvolution of gene expression of bulk tumor samples
RunDeconvMethylFunDeconvolution of DNA methylation of bulk tumor samples
run_edec_stage_1This chunk of code from EDec paper Run EDec stage 1...
run_edec_stage_2This chunk of code from EDec paper Run EDec stage 2 algorithm
SampleExprFunSample-specific deconvoluted gene expression profile.
SampleMethylFunSample-specific deconvoluted DNA methylation profile.
tTestWithErrorHandlingThis chunk of code is from EDec paper Select informative loci...
bozdaglab/CTDPathSim2.0 documentation built on April 14, 2022, 12:39 a.m.