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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Vydané v:	International journal of bioinformatics research and applications Ročník 11; číslo 5; s. 397
Hlavní autori:	Raza, Khalid, Hasan, Atif N
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland 2015
Predmet:	Bayes network prostate cancer cancer class prediction microarray analysis machine learning bioinformatics
ISSN:	1744-5485
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