<p>sur, a nx2 data frame, the samples' survival data</p>

datasets

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.

Junwei Han

pathwayTMB

Pathway Based Tumor Mutational Burden

Xiangmei Li

sur function

<p>An object of class <code>data.frame</code> with 110 rows and 2 columns.</p>

sur: sur, the samples' survival data

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