The Correlation-Base-Selection Algorithm for Diagnostic Schizophrenia Based on Blood-Based Gene Expression Signatures
Table 3
The pathway results of significant differences between patient and control group.
Feature
ID
Input number
Background number
value
Parkinson’s disease
hsa05012
6
108
Oxidative phosphorylation
hsa00190
4
98
0.003793377
TGF-beta signaling pathway
hsa04350
3
66
0.009126485
Metabolic pathways
hsa01100
14
1118
0.010961336
Alzheimer’s disease
hsa05010
4
139
0.012275212
Primary immunodeficiency
hsa05340
2
34
0.021039942
Huntington’s disease
hsa05016
4
165
0.021326367
Vascular smooth muscle contraction
hsa04270
3
109
0.032774232
ABC transporters
hsa02010
2
44
0.033204998
Nonalcoholic fatty liver disease
hsa04932
3
129
0.049322146
Note: the KEGG pathway analysis shows genes in these pathways are significantly differently expressed (). In addition, each pathway contains no fewer than 2 genes.
