Article

<i>SurfacOmics:</i> an R shiny application integrating variable Feature Selection for gene biomarker discovery using Elastic-Net Regularization

2025-06-17

Abstract excerpt

Affordable sequencing technologies have resulted in a rapid rise in genomic and proteomic data. As a result, a massive amount of data is being analyzed, and the outcomes must be summarized as relevant clinical biomarkers. One of the major challenges is enabling wet-lab researchers to make meaningful inferences from the data, even in the absence of expertise in pipeline development and statistical training. We pres...

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Literature Corpus work: 6e28195b-acc8-5c45-acf9-587638684dc6
DOI: 10.1101/2025.06.12.659259

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