Article

Clinical Feature-Related Single-Base Substitution Sequence Signatures Identified with an Unsupervised Machine Learning Approach

2021-03-22

Abstract excerpt

<title>Abstract</title> <p><bold><italic>Background</italic></bold><italic>: </italic>Mutation processes leave different signatures in genes. For single-base substitutions, previous studies have suggested that mutation signatures are not only reflected in mutation bases but also in neighboring bases. However, because of the lack of a method to identify features of long sequences next to mutation bases, the unders...

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Literature Corpus work: 451cbd1b-b407-56d6-849e-a70e14e33ab6
DOI: 10.21203/rs.3.rs-344127/v1

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