Article

Filtering high-dimensional methylation marks with extremely small sample size: an application to gastric cancer data

2021-03-13

Abstract excerpt

<h4>Background: </h4> DNA methylations in critical regions are highly involved in cancer pathogenesis and drug response. However, to identify causal methylations out of a large number of potential polymorphic DNA methylation sites is challenging. This high-dimensional data brings two obstacles: first, many established statistical models are not scalable to so many features; second, multiple-test and overfitting be...

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Literature Corpus work: abbb6562-2389-5153-8b0a-0ed92ba79168
DOI: 10.21203/rs.3.rs-284773/v1

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