Article

Identifying interactions in omics data for clinical biomarker discovery using symbolic regression

2022-01-20

Abstract excerpt

<h4>ABSTRACT</h4> The identification of predictive biomarker signatures from omics data for clinical applications is an active area of research. Recent developments in assay technologies and machine learning (ML) methods have led to significant improvements in predictive performance. However, most high-performing ML methods suffer from complex architectures and lack interpretability. Here, we present the applicat...

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Literature Corpus work: 010f5741-fc86-5adc-8f21-8455eabbe365
DOI: 10.1101/2022.01.14.475226

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