Article

Permutation-based Identification of Important Biomarkers for Complex Diseases via Black-box Models

2020-04-29

Abstract excerpt

Study of human disease remains challenging due to convoluted disease etiologies and complex molecular mechanisms at genetic, genomic, and proteomic levels. Many machine learning-based methods, including deep learning and random forest, have been developed and widely used to alleviate some analytic challenges in complex human disease studies. While enjoying the modeling flexibility and robustness, these model frame...

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Identifiers and source

Literature Corpus work: c7515096-1183-5e64-b72d-890428655ff5
DOI: 10.1101/2020.04.27.064170

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