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Classification and Biomarker Genes Selection for Cancer Gene Expression Data Using Random Forest

BACKGROUND & OBJECTIVE: Microarray and next generation sequencing (NGS) data are the important sources to find helpful molecular patterns. Also, the great number of gene expression data increases the challenge of how to identify the biomarkers associated with cancer. The random forest (RF) is us...

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Detalhes bibliográficos
Publicado no:Iran J Pathol
Main Authors: Ram, Malihe, Najafi, Ali, Shakeri, Mohammad Taghi
Formato: Artigo
Idioma:Inglês
Publicado em: Iranian Society of Pathology 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5844678/
https://ncbi.nlm.nih.gov/pubmed/29563929
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