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Table 5 Summary of results for the fastest measures on the Benchmark 1 datasets

From: Speeding up the Consensus Clustering methodology for microarray data analysis

 

Precision

Timing

 

CNS Rat

Leukemia

NCI60

Lymphoma

Yeast

CNS Rat

Leukemia

NCI60

Lymphoma

WCSS-K-means-C

⑤

➌

➑

8

④

1.7 × 103

1.3 × 103

5.0 × 103

4.0 × 103

WCSS-R-R0

⑤

④

➑

➌

④

1.2 × 103

8.0 × 102

4.1 × 103

3.0 × 103

G-Gap-K-means-R

⑦

➌

4

④

⑥

2.4 × 103

2.0 × 103

8.3 × 104

8.4 × 103

G-Gap-R-R5

⑤

④

2

②

④

1.2 × 103

8.0 × 102

4.5 × 104

3.2 × 103

FOM-K-means-C

⑦

8

➑

④

④

1.9 × 104

9.4 × 104

5.5 × 105

2.6 × 105

FOM-K-means-S

➏

➌

➑

8

④

2.9 × 104

1.0 × 105

7.1 × 105

3.6 × 105

FOM-R-R5

➏

➌

⑦

5

➎

3.9 × 103

3.7 × 104

2.1 × 105

7.6 × 104

FOM-Hier-A

⑦

➌

⑦

6

⑥

1.6 × 103

7.5 × 103

5.1 × 104

1.8 × 104

DIFF-FOM-K-means-C

⑦

➌

⑦

④

3

1.9 × 104

9.4 × 104

5.5 × 105

2.6 × 105

FC-Hier-A

⑦

➌

➑

➌

➎

5.9 × 104

2.7 × 104

7.0 × 104

6.8 × 104

FC-Hier-C

➏

④

➑

5

⑥

5.9 × 104

2.7 × 104

6.5 × 104

6.7 × 104

Gold solution

6

3

8

3

5

-

-

-

-

  1. A summary of the best performing measures taken from the benchmarking of Giancarlo et al., with the addition of FC, with H = 250 and p = 80%. The table legend is as in Table 1. Consistent with that study, we report only the timing results for CNS Rat, Leukemia, NCI60 and Lymphoma, since for the Yeast and PBM datasets the experiments have been performed on a computer other than the AMD Athlon.
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Algorithms for Molecular Biology

ISSN: 1748-7188