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

Malihe Ram; Ali Najafi; Mohammad Taghi Shakeri

Volume 12, Issue 4 , December 2017, , Pages 339-347

https://doi.org/10.30699/ijp.2017.27990

Abstract
  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 used ...  Read More