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pathwayTMB (version 0.1.3)

Pathway Based Tumor Mutational Burden

Description

A systematic bioinformatics tool to develop a new pathway-based gene panel for tumor mutational burden (TMB) assessment (pathway-based tumor mutational burden, PTMB), using somatic mutations files in an efficient manner from either The Cancer Genome Atlas sources or any in-house studies as long as the data is in mutation annotation file (MAF) format. Besides, we develop a multiple machine learning method using the sample's PTMB profiles to identify cancer-specific dysfunction pathways, which can be a biomarker of prognostic and predictive for cancer immunotherapy.

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Version

Install

install.packages('pathwayTMB')

Monthly Downloads

318

Version

0.1.3

License

GPL (>= 2)

Maintainer

Junwei Han

Last Published

August 9th, 2022

Functions in pathwayTMB (0.1.3)

get_final_signature

Filter cancer-specific dysfunction pathways.
get_PTMB

Calculate the Pathway-based Tumor Mutational Burden.
gene_path

gene_path, the pathways geneset
plotKMcurves

Drawing Kaplan Meier Survival Curves Using the final survival-related PTMB.
get_mut_matrix

Converts MAF into mutation matrix.
GenePathwayOncoplots

draw an GenePathwayOncoplots
final_character

final_character, the example's final signature
genesmbol

genesmbol, the coding genes' length
mut_matrix

mut_matrix, mutations matrix
PTMB_matrix

PTMB_matrix, the Pathway-based Tumor Mutational Burden matrix
plotMutInteract

Exact tests to detect mutually exclusive, co-occuring and altered genesets or pathways.
sur

sur, the samples' survival data
plotROC

plot the ROC curve