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Motif finding
fzGASCE clustering
fz Subtractive
fzSub clustering
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fzBLE validation
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Sentiment analysis
Min vertex cover
#Dim
2
3
4
5
#Loops
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
#Clusters
2
3
4
5
6
7
8
5
6
7
8
9
10
11
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14
Genomics
This is to compare
fzBLE
with seven popular cluster validity indices: CWB, FS, PBMF, BR, XB, PC, PE.
Select "Gene expression" if the input data are gene expression levels;
Select the number of trial fuzzy partitions under "Loops";
Select the range of cluster# and data dimensions using "#Clusters" and "#Dim";
Enter the input under "Data", or select "Data" command;
Select "Run" command to run the benchmark. Results will be reported on this webpage.
Please cite us
Thanh Le and Katheleen J. Gardiner, 2011. A validation method for fuzzy clustering of gene expression data, Proc. Intl' Conf. on Bioinformatics and Computational Biology, Vol. 1, pp. 23-29.
Designed & Developed by
Thanh Le
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