|
Comparison of different clustering algorithms |
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| Analyzed data set |
SPC |
MCL |
GSPC |
|||
|
|
||||||
| clustered cases |
error,1 % |
clustered cases |
error,1 % |
clustered cases |
error,1 % |
|
|
|
||||||
| SCOP domains |
8666 (94%)2 |
9.3 |
9208 |
12.2 |
9276 (101%) |
7.7 |
| SwissProt InterPro domains |
96716 (99%) |
15.6 |
97792 |
14.3 |
103729 (106%) |
10.7 |
| SwissProt keywords |
98276 (99%) |
21.8 |
99636 |
20.8 |
105339 (106%) |
15.7 |
| Bacterial genomes, FunCat 1.3 |
4652 (103%) |
14.1 |
4517 |
14.7 |
5043 (112%) |
14.8 |
|
1-The error is defined as error=100%*(FP+FN)/(TP+FN). 2-In parentheses the percentage of clustered sequences relative to the corresponding numbers of the MCL algorithm (100%) are indicated. | ||||||
Tetko et al. BMC Bioinformatics 2005 6:82 doi:10.1186/1471-2105-6-82 |
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