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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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Chen, Xi, Ishwaran, Hemant
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2012
Schlagworte:
Online Zugang: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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