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Random Forests for Genomic Data Analysis

Random forests (RF) is a popular tree-based ensemble machine learning tool that is highly data adaptive, applies to “large p, small n” problems, and is able to account for correlation as well as interactions among features. This makes RF particularly appealing for high-dimensional genomic data analy...

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Bibliografiske detaljer
Main Authors: Chen, Xi, Ishwaran, Hemant
Format: Artigo
Sprog:Inglês
Udgivet: 2012
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3387489/
https://ncbi.nlm.nih.gov/pubmed/22546560
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ygeno.2012.04.003
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