PanForest: predicting genes in genomes using random forests.

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Bibliographic Details
Title: PanForest: predicting genes in genomes using random forests.
Authors: Beavan AJS; School of Biological Science, Faculty of Biology, Medicine & Health, University of Manchester, Manchester, M13 9PL, United Kingdom.; School of Life Sciences, The University of Nottingham, Nottingham NG7 2UH, United Kingdom., Domingo-Sananes MR; School of Science and Technology, Nottingham Trent University, Nottingham NG1 4FQ, United Kingdom., McInerney JO; Department of Evolution, Ecology and Behaviour, University of Liverpool, Liverpool L69 3BX, United Kingdom.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2026 Jan 02; Vol. 42 (1).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1367-4811
DOI:10.1093/bioinformatics/btag005