How to Group Genes according to Expression Profiles?
Table 4
Summarized ANOVA table for the terms of the linear model fitted to the bias (estimated minus true number of clusters——in the gene-expression matrix). Results are shown for and . Clustering algorithm: complete linkage.
Model terms
numDF
denDF
-value
BH-Adj value
-value
BH-Adj value
9
720
130.17
<0.0001
265.88
<0.0001
1
80
4.26
0.0845
11.78
0.0017
1
80
26.39
<0.0001
57.35
<0.0001
1
80
0.54
0.5703
28.62
<0.0001
9
720
28.29
<0.0001
10.05
<0.0001
9
720
19.67
<0.0001
14.43
<0.0001
9
720
0.71
0.7031
4.15
0.0001
1
80
0.3
0.6331
0.33
0.6046
1
80
0.78
0.5063
0.83
0.4169
1
80
2.19
0.2289
1.55
0.2897
9
720
2.66
0.0129
3.78
0.0002
9
720
0.82
0.6331
1.27
0.3096
9
720
1.43
0.2508
1.63
0.1631
1
80
2.19
0.2289
2.58
0.1631
9
720
2.23
0.0419
0.48
0.8888
BH-Adj value: refers to the adjusted value according to Benjamini-Hochberg algorithm.
