Article

Generating realistic null hypothesis of cancer mutational landscapes using SigProfilerSimulator

2020-02-14

Abstract excerpt

<h4>ABSTRACT</h4> Performing a statistical test requires a null hypothesis. In cancer genomics, a key challenge is the fast generation of accurate somatic mutational landscapes that can be used as a realistic null hypothesis for making biological discoveries. Here we present SigProfilerSimulator, a powerful tool that is capable of simulating the mutational landscapes of thousands of cancer genomes at different re...

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Literature Corpus work: abec4dee-40b3-51b0-9238-5f73a0b343c3
DOI: 10.1101/2020.02.13.948422

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