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. 2008 Jan 29;9:64. doi: 10.1186/1471-2105-9-64

Table 3.

Comparison of CASCADE to competing clustering methods for 3 biological network data sets (Yeast DNA damage response network, Rapamycin gene modules network, and Rich medium gene modules network).

Dataset Method Number Size Discard(%) Function (-log p)
DNA damage response network CASCADE 6 15.7 5.0 2.28
STM 6 16.0 5.2 2.28
Quasi clique 3 7.0 88.5 0.87
Samanta 6 6.7 58.3 1.79
Minimum cut 7 13.1 4.2 1.18
Betweenness cut 10 8.8 8.3 2.22
MCL 3 9.3 70.8 2.37
Chen 7 13.7 0.0 2.66
Rives 5 18.4 4.1 1.61
SPC 3 20.3 36.5 2.33

Rapamycin gene modules network CASCADE 4 11.8 6.0 2.90
STM 4 12.5 0.0 2.57
Quasi clique 13 8.2 0.0 2.17
Samanta 7 4.9 32.0 1.57
Minimum cut 8 5.9 6.0 1.82
Betweenness cut 5 8.0 20.0 2.03
MCL 6 7.7 8.0 5.48
Chen 5 10.0 0.0 2.01
Rives 4 11.0 12.0 1.49
SPC 3 15.3 8.0 1.47

Rich medium gene modules network CASCADE 4 27.8 0.0 10.5
STM 5 22.4 0.0 8.21
Quasi clique 5 22.8 0.0 7.81
Samanta 12 5.3 43.2 4.79
Minimum cut 10 11.1 0.0 4.41
Betweenness cut 8 13.9 0.0 6.38
MCL 23 4.0 4.5 7.29
Chen 8 13.9 0.0 6.13
Rives 5 22.2 0.0 5.77
SPC 5 20.6 7.2 6.80

The Number column indicates the number of clusters identified by each method, the Size column indicates the average number of molecular components in each cluster; the Discard(%) indicates the percentage of molecular components not assigned to any cluster. The average -log p values of all detected clusters for biological function are shown. Comparisons are performed on the clusters with 5 or more molecular components for the first data sets(DNA damage response network), and on the clusters with 3 or more molecular components for the last 2 network data sets(Rapamycin gene modules networks, Rich medium gene modules network). The Maximal clique method is not included in the Table because none of the identified clusters have 3 or more members.

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