Article

binomialRF: Interpretable combinatoric efficiency of random forests to identify biomarker interactions

2019-06-26

Abstract excerpt

<h4>Background</h4> In this era of data science-driven bioinformatics, machine learning research has focused on feature selection as users want more interpretation and post-hoc analyses for biomarker detection. However, when there are more features (i.e., transcript) than samples (i.e., mice or human samples) in a study, this poses major statistical challenges in biomarker detection tasks as traditional statistic...

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Literature Corpus work: c1db5081-d0b9-5708-a584-d12b1d9a4086
DOI: 10.1101/681973

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