Skip to main content

Table 1 Comparison of biological coherence of clusters obtained for dataset I by different clustering algorithms

From: Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures

   

Proportion of Genes (%) in Clusters of p-values

  

Average Correlation

<= 10-4

<= 10-3

(Clustering Method)

EP_GOS_Clust

0.617

32.8*

64.9*

 

Iterated EP_GOS_Clust

0.685*

> 69*

> 90*

 

KMedians

0.615

30.8

62.2*

 

KCityBlk

0.398

27.5

56.7

 

KCorr

0.630*

32.6*

60.1

 

KMeans

0.614

25.1

55.2

 

KAvePair

0.567

25.2

54.4

 

QTClust

0.572

31.1

56.9

 

SOTA

0.604

30.2

58.9

 

SOM

0.623*

30.5

59.2

  1. Shown are the comparative biological coherence formed by various clustering methods on dataset I. The 2 shaded rows represent clustering done by the standalone EP_GOS_Clust backbone and the proposed iterative approach.
  2. * The top three performers in each category are indicated with an asterisk.
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us