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.
|Author||Junwei Han [aut, cre, cph], Xiangmei Li [aut]|
|Maintainer||Junwei Han <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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