Multiple Testing of Mix‐and‐Match Feature Sets in Multi‐Omics
Statistics in Medicine, vol. 45, pp. e70367
Abstract
Integrated analysis of multi-omics datasets holds great promise for uncovering complex biological processes. However, the large dimensionality of omics data poses significant interpretability and multiple testing challenges. Simultaneous enrichment analysis (SEA) was introduced to address these issues in single-omics analysis, providing an in-built multiple testing correction and enabling simultaneous feature set testing. In this article, we introduce OCEAN, an extension of SEA to multi-omics data. OCEAN is a flexible approach to analyze potentially all possible two-way feature sets from any pair of genomics datasets. We also propose two new error rates which are in line with the two-way structure of the data and facilitate interpretation of the results. The power and utility of OCEAN are demonstrated by analyzing copy number and gene expression data for breast and colon cancer.
Authors 4
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Mitra Ebrahimpoor corresponding Aachen Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
Leiden University Medical Center
Affiliation as printed
Department of Biomedical Data Sciences Leiden University Medical Center Leiden the Netherlands
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The Netherlands Cancer Institute
Affiliation as printed
Biostatistics Centre, Department of Psychosocial Research and Epidemiology Netherlands Cancer Institute Amsterdam the Netherlands
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Ningning Xu Aachen Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
Leiden University Medical Center
Affiliation as printed
Department of Biomedical Data Sciences Leiden University Medical Center Leiden the Netherlands
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Jelle J. Goeman Aachen Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands
Leiden University Medical Center
Affiliation as printed
Department of Biomedical Data Sciences Leiden University Medical Center Leiden the Netherlands
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