Article

A sparse negative binomial classifier with covariate adjustment for RNA-seq data

2019-05-15

Abstract excerpt

Supervised machine learning methods have been increasingly used in biomedical research and in clinical practice. In transcriptomic applications, RNA-seq data have become dominating and have gradually replaced traditional microarray due to its reduced background noise and increased digital precision. Most existing machine learning methods are, however, designed for continuous intensities of microarray and are not s...

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Literature Corpus work: 493f973f-3d24-5c73-a375-953a74decb02
DOI: 10.1101/636340

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