BMC Bioinformatics

Table 7 An overview of the published classification results in Singh et al. prostate cancer data

From: Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data

Authors	Cross Validation		Train-Test		Features
	Samples	Accuracy (%)	Samples	Accuracy (%)
[67]	98/102	96.08	33/34	97.06	-
[63]	-	-	25/34	73.53	3071
[38]	124/136	91.18	-	-	6
mAP-KL (RF)	-	87.33	18/34	52.94	12
mAP-KL (KNN)	-	82.22	29/34	85.29	12
mAP-KL (SVM-linear)	-	87.82	33/34	97.06	12

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ISSN: 1471-2105

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