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

Malihe Ram; Ali Najafi; Mohammad Taghi Shakeri

doi:10.30699/ijp.2017.27990

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

Malihe Ram Ali Najafi Mohammad Taghi Shakeri

Year: 2017 Journal: Iranian journal of pathology Vol: 12 (4)Pages: 339-347

DOI: 10.30699/ijp.2017.27990

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Abstract

The current study results showed most of the selected genes involved in the processes and cancerous pathways were previously reported and had an important role in shifting from normal cell to abnormal.

Keywords:

Random forest Gene Cancer Computational biology Prostate cancer DNA microarray Microarray Microarray analysis techniques Biomarker Biomarker discovery Gene chip analysis Biology Data mining Bioinformatics Gene expression Computer science Genetics Artificial intelligence Proteomics

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Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Molecular Biology Techniques and Applications

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Bioinformatics and Genomic Networks

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

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

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