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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Veröffentlicht in:	International journal of bioinformatics research and applications Jg. 11; H. 5; S. 397
Hauptverfasser:	Raza, Khalid, Hasan, Atif N
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland 2015
Schlagworte:	Bayes network prostate cancer cancer class prediction microarray analysis machine learning bioinformatics
ISSN:	1744-5485
Online-Zugang:	Weitere Angaben
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