How to Group Genes according to Expression Profiles?

Table 8

Estimated mean, standard error, and lower (LB) and upper boundaries (UB) of a 95% confidence interval for the bias of each combination of method (𝑀), number of genes (𝐺), and number of treatments (𝑇). The table is sorted in descending order of bias within each level of 𝐺 and 𝑇. True number of clusters: 𝑘=10. Clustering algorithm: complete linkage.

𝑀	𝐺	𝑇	Mean bias	Standard error	LB (95%)	UB (95%)
HOPACHm	100	3	28.18	3.64	21.05	35.31
HOPACHc	100	3	23.14	3.64	16.01	30.27
Gap	100	3	−2.14	0.32	−2.77	−1.51
H	100	3	−3.50	0.32	−4.13	−2.87
gDGC	100	3	−4.55	0.32	−5.18	−3.92
CH	100	3	−4.91	0.32	−5.54	−4.28
MClust	100	3	−5.09	0.32	−5.72	−4.46
Silh	100	3	−6.82	0.32	−7.45	−6.19
CCCm	100	3	−7.41	0.32	−8.04	−6.78
CCC	100	3	−7.41	0.32	−8.04	−6.78
HOPACHc	100	5	30.05	3.64	22.92	37.18
HOPACHm	100	5	26.95	3.64	19.82	34.08
Gap	100	5	−1.45	0.32	−2.08	−0.82
gDGC	100	5	−2.00	0.32	−2.63	−1.37
MClust	100	5	−2.45	0.32	−3.08	−1.82
H	100	5	−3.05	0.32	−3.68	−2.42
CH	100	5	−3.73	0.32	−4.36	−3.10
Silh	100	5	−4.95	0.32	−5.58	−4.32
CCCm	100	5	−7.09	0.32	−7.72	−6.46
CCC	100	5	−7.36	0.32	−7.99	−6.73
HOPACHm	300	3	40.23	3.64	33.1	47.36
HOPACHc	300	3	16.09	3.64	8.96	23.22
H	300	3	0.36	0.32	−0.27	0.99
Gap	300	3	−1.18	0.32	−1.81	−0.55
gDGC	300	3	−4.14	0.32	−4.77	−3.51
MClust	300	3	−4.23	0.32	−4.86	−3.60
CH	300	3	−6.36	0.32	−6.99	−5.73
Silh	300	3	−7.41	0.32	−8.04	−6.78
CCCm	300	3	−7.45	0.32	−8.08	−6.82
CCC	300	3	−7.45	0.32	−8.08	−6.82
HOPACHc	300	5	35.95	3.64	28.82	43.08
HOPACHm	300	5	35.41	3.64	28.28	42.54
Gap	300	5	−0.91	0.32	−1.54	−0.28
H	300	5	−1.09	0.32	−1.72	−0.46
gDGC	300	5	−1.73	0.32	−2.36	−1.10
MClust	300	5	−2.09	0.32	−2.72	−1.46
CH	300	5	−3.05	0.32	−3.68	−2.42
Silh	300	5	−4.45	0.32	−5.08	−3.82
CCCm	300	5	−6.59	0.32	−7.22	−5.96
CCC	300	5	−6.68	0.32	−7.31	−6.05