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Article

Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?

Briefings in bioinformatics - 1 May 2013

Touw Wouter G, Bayjanov Jumamurat R, Overmars Lex, Backus Lennart, Boekhorst Jos, Wels Michiel, van Hijum Sacha A F T

Abstract excerpt

In the Life Sciences 'omics' data is increasingly generated by different high-throughput technologies. Often only the integration of these data allows uncovering biological insights that can be experimentally validated or mechanistically modelled, i.e. sophisticated computational approaches are required to extract the complex non-linear trends present in omics data. Classification techniques allow training a...

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PMID: 22786785
DOI: 10.1093/bib/bbs034
PMCID: PMC3659301

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

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