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ROTS 2.0: A reproducibility-driven framework for robust statistical modeling across diverse high-throughput omics study designs

2026-06-03

Abstract excerpt

Reproducibility is fundamental to reliable scientific discoveries. The reproducibility-optimized test statistic (ROTS) is a robust framework designed to identify reproducible features (e.g. genes or proteins) in high-dimensional differential expression analyses such as transcriptomics and proteomics. This is achieved by optimizing the reproducibility of feature rankings under resampling. While originally implement...

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Literature Corpus work
07f81da5-2033-55b0-b21f-312d460ede43
DOI
10.64898/2026.06.01.729164
Open publication

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ROTS 2.0: A reproducibility-driven framework for robust statistical modeling across diverse high-throughput omics study designsDOI 10.64898/2026.06.01.729164
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