Article

pyCancerSig: subclassifying human cancer with comprehensive single nucleotide, structural and microsatellite mutational signature deconstruction from whole genome sequencing

2019-09-30

Abstract excerpt

<h4>Background</h4> DNA damage accumulates over the course of cancer development. The often-substantial amount of somatic mutations in cancer poses a challenge to traditional methods to characterize tumors based on driver mutations. However, advances in machine learning technology can take advantage of this substantial amount of data. <h4>Results</h4> We developed a command line interface python package, pyCance...

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Literature Corpus work: 940b3099-f4d6-5a0b-8368-b1024d2ef575
DOI: 10.1101/785410

Open publication

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