Constraints on signaling network logic reveal functional subgraphs on Multiple Myeloma OMIC data

BMC Systems Biology

Table 7 Results of the comparison with other clustering methods

Clustering method	#clusters	#enriched clusters	#genes	μ ^SE	σ ^SE	CQ	Loss information ratio
C0₁	105	24	344	0.10	0.155	37.82	35.8%
C0₂	2	2	101	0.069	< 0.001	6.96	88.2%
F A ₁	2	2	688	0.065	0.02	44.94	23.8%
F A ₂	2	2	380	0.089	0.008	33.66	42.9%
CI	15	2	511	0.089	0.006	46.17	21.6%
PID-NCI graph	1	1	524	0.11	∅	58.93.	0%

The column #clusters stands for the sum of clusters. The column #enriched clusters stands for the sum of clusters which can be associated to enriched GO-terms. The column #genes stands for the number of genes in all the enriched clusters. The columns μ^SE and σ^SE stand for the mean and standard deviation for the SE value of the enriched clusters. The Loss information ratio column is computed for each clustering method c as 1−CQ_c/CQ_PID. The bold values refer to the results obtained with the component identification algorithm

ISSN: 1752-0509