A practical guide to methods controlling false discoveries in computational biology

2019458 citationsJournal Articlegold Open Access

Authors

Keegan Korthauer · Harvard University

Patrick K. Kimes · Harvard University

Claire Duvallet · IIT@MIT

Alejandro Reyes · Harvard University

Ayshwarya Subramanian · Broad Institute

Mingxiang Teng · Moffitt Cancer Center

Chinmay Shukla ·

Abstract

Modern FDR methods that use an informative covariate provide advantages over classic FDR-controlling procedures, with the relative gain dependent on the application and informativeness of available covariates. We present our findings as a practical guide and provide recommendations to aid researchers in their choice of methods to correct for false discoveries.

Topics & Keywords

Genetics, Bioinformatics, and Biomedical Research Bioinformatics and Genomic Networks Biomedical Text Mining and Ontologies

Publication Details

Published in: Genome biology

Volume 20, Issue 1, pp. 118-118

DOI: 10.1186/s13059-019-1716-1

Field-Weighted Citation Impact: 14.53

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A practical guide to methods controlling false discoveries in computational biology

Authors

Abstract

Topics & Keywords

Publication Details