How to Group Genes according to Expression Profiles?

Table 2

Estimated mean, standard error, and lower (LB) and upper boundaries (UB) of a 95% confidence interval for the bias for each method applied to the estimation of the number of clusters in the simulated datasets. True number of clusters: 𝑘=2. Clustering algorithm: average linkage.

Method	Mean bias	Standard error	LB (95%)	UB (95%)
HOPACHm	7.35	1.07	5.25	9.45
HOPACHc	7.28	1.07	5.18	9.38
CH	0.44	0.10	0.24	0.64
Gap	0.35	0.10	0.15	0.55
Silh	0.34	0.10	0.14	0.54
H	0.22	0.10	0.02	0.42
CCCm	0.16	0.10	−0.04	0.36
CCC	0.16	0.10	−0.04	0.36
gDGC	0.03	0.10	−0.17	0.23
MClust	0.01	0.10	−0.19	0.21