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Article

The evolutionary forest algorithm.

Bioinformatics (Oxford, England) - 1 Aug 2007

Leman Scotland C, Uyenoyama Marcy K, Lavine Michael, Chen Yuguo

Abstract excerpt

MOTIVATION: Gene genealogies offer a powerful context for inferences about the evolutionary process based on presently segregating DNA variation. In many cases, it is the distribution of population parameters, marginalized over the effectively infinite-dimensional tree space, that is of interest. Our evolutionary forest (EF) algorithm uses Monte Carlo methods to generate posterior distributions of population...

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PMID: 17519247
DOI: 10.1093/bioinformatics/btm264

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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