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A module-based approach for post-omics, post-GWAS network-based gene classification

2025-08-15

Abstract excerpt

Complex traits and diseases are highly polygenic and understanding the full set of genes involved is a central challenge in biomedicine. However, due to sample size limitations and noise (technical and biological), experimental approaches for disease-gene discovery such as transcriptomics and GWAS result in long, noisy, heterogeneous gene lists, which may be trimmed to a subset of likely relevant genes while leavi...

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Literature Corpus work
4d46e03a-93fa-5793-840a-30810f3d8224
DOI
10.1101/2025.08.11.669721
Open publication

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A module-based approach for post-omics, post-GWAS network-based gene classificationDOI 10.1101/2025.08.11.669721
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