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Table 1 Simulation results for GG model

From: A novel approach to the clustering of microarray data via nonparametric density estimation

 

pdfCluster

Mclust

 

mean

se

mean

se

SE

0.9877

0.0007

0.9991

0.0001

SP

0.9866

0.0008

0.9985

0.0004

ER

0.0128

0.0006

0.0012

0.0002

RG

0.0837

0.0061

0.7787

0.0093

CC

0.77

0.84

  1. Simulation results for pdfCluster and Mclust in GG model: rate of correct identification of number of clusters (CC), sensitivity (SE), specificity (SP) and error rate (ER) in the classification of the samples, and error rate in the selection of relevant genes (RG).
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BMC Bioinformatics

ISSN: 1471-2105

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