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Table 1 Evaluation of different EST clustering tools on our benchmark dataset.

From: EasyCluster: a fast and efficient gene-oriented clustering tool for large-scale transcriptome data

Program

SN

JI

# Clusters

# ESTs per cluster

α

β

EasyCluster

0.995

0.995

112 (0)

158.3

0.009

0

wcd

0.926

0.797

112 (15)

158.3

0.018

0.045

TGICL

0.906

0.875

125 (0)

141.3

0.144

0.036

ClustDB

0.562

0.424

201 (0)

87.8

0.765

0.009

BLASTClust

0.037

0.037

8255 (7304)

2.1

0.792

0

  1. Sensitivity (Sn), Jaccard Index (JI), number of generated clusters and average number of ESTs per cluster based on our human benchmark dataset. The number of singletons is shown in brackets. Moreover, α and β represents Type I and Type II error rates, respectively.
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BMC Bioinformatics

ISSN: 1471-2105

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