Article

Insight of characteristic of mutation sequences in human cancers via an unsupervised neural network approach.

2020-12-28

Abstract excerpt

<title>Abstract</title> <p><italic>Background: </italic>Mutation processes leave different signatures in genes. Previous studies have suggested that both the mutated and flanking bases influence somatic mutation characteristics. However, the understanding of how flanking sequences influence somatic mutation characteristics is limited.<italic>Materials and methods: </italic>We constructed a long short-term memory...

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Literature Corpus work: 468abcae-ff9f-570a-8fa7-6cea4f613009
DOI: 10.21203/rs.3.rs-115811/v2

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