A comprehensive evaluation of machine learning techniques for cancer class prediction based on microarray data

Prostate cancer is among the most common cancer in males and its heterogeneity is well known. The genomic level changes can be detected in gene expression data and those changes may serve as standard model for any random cancer data for class prediction. Various techniques were implied on prostate c...

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Bibliographic Details

Published in:	International journal of bioinformatics research and applications Vol. 11; no. 5; p. 397
Main Authors:	Raza, Khalid, Hasan, Atif N
Format:	Journal Article
Language:	English
Published:	Switzerland 2015
Subjects:	Bayes network prostate cancer cancer class prediction microarray analysis machine learning bioinformatics
ISSN:	1744-5485
Online Access:	Get more information
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