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Article

Do little interactions get lost in dark random forests?

BMC bioinformatics - 31 Mar 2016

Wright Marvin N, Ziegler Andreas, König Inke R

Abstract excerpt

BACKGROUND: Random forests have often been claimed to uncover interaction effects. However, if and how interaction effects can be differentiated from marginal effects remains unclear. In extensive simulation studies, we investigate whether random forest variable importance measures capture or detect gene-gene interactions. With capturing interactions, we define the ability to identify a variable that acts through...

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Identifiers

PMID: 27029549
DOI: 10.1186/s12859-016-0995-8
PMCID: PMC4815164

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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