Topconfects: a package for confident effect sizes in differential expression analysis provides a more biologically useful ranked gene list

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Topconfects: a package for confident effect sizes in differential expression analysis provides a more biologically useful ranked gene list

Harrison, Paul F; Pattison, Andrew D; Powell, David R; Beilharz, Traude H

Genome Biology, 03/2019, Volume: 20, Issue: 1

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Differential gene expression analysis may discover a set of genes too large to easily investigate, so a means of ranking genes by biological interest level is desired. p values are frequently abused for this purpose. As an alternative, we propose a method of ranking by confidence bounds on the log fold change, based on the previously developed TREAT test. These confidence bounds provide guaranteed false discovery rate and false coverage-statement rate control. When applied to a breast cancer dataset, the top-ranked genes by Topconfects emphasize markedly different biological processes compared to the top-ranked genes by p value.

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Harrison, Paul F | Pattison, Andrew D | Powell, David R | Beilharz, Traude H

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