How to Group Genes according to Expression Profiles?
Table 1
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: average linkage.
Model terms
numDF
denDF
-value
BH-Adj value
-value
BH-Adj value
9
720
11.44
<0.0001
159.17
<0.0001
1
80
12.32
0.0037
21.22
<0.0001
1
80
3.52
0.1653
64.34
<0.0001
1
80
0.01
0.9858
3.38
0.1243
9
720
2.42
0.0510
2.60
0.0177
9
720
1.84
0.1653
10.96
<0.0001
9
720
1.71
0.1757
2.21
0.0485
1
80
0.01
0.9858
2.40
0.1824
1
80
1.62
0.3812
0.01
0.9233
1
80
0.49
0.8077
2.57
0.1823
9
720
0.50
0.9858
1.48
0.2050
9
720
0.66
0.9858
1.06
0.4865
9
720
1.79
0.1653
2.09
0.0594
1
80
0.36
0.8268
0.54
0.5333
9
720
0.25
0.9858
0.79
0.6701
BH-Adj value: refers to the adjusted value according to Benjamini-Hochberg algorithm.
