Driver Attribute Filling for Genes in Interaction Network via Modularity Subspace-Based Concept Learning from Small Samples

Table 1

Functional enrichment analysis results of our proposed model on STRING network. (a) Enrichment results of prostate cancer. (b) Enrichment results of thyroid cancer.

a	Function term	value
1	GO:0033148: positive regulation of intracellular estrogen receptor signaling pathway	4.86E − 05
2	hsa05202: transcriptional misregulation in cancer	1.42E − 04
3	GO:0019899: enzyme binding	2.89E − 04
4	GO:0043565: sequence-specific DNA binding	1.52E − 03
5	GO:0001077: transcriptional activator activity, RNA polymerase II core promoter proximal region sequence-specific binding	1.59E − 03
6	GO:0003700: transcription factor activity, sequence-specific DNA binding	2.06E − 03
7	GO:0005634: nucleus	5.58E − 03
8	GO:0060740: prostate gland epithelium morphogenesis	7.48E − 03
9	GO:0060736: prostate gland growth	8.55E − 03
10	hsa05215: prostate cancer	9.83E − 03
b
1	hsa05216: thyroid cancer	4.21E − 10
2	GO:0000165: MAPK cascade	1.49E − 04
3	hsa05200: pathways in cancer	2.06E − 04
4	GO:0005801: cis-Golgi network	7.75E − 04
5	hsa05219: bladder cancer	1.84E − 03
6	hsa05213: endometrial cancer	2.95E − 03
7	hsa05221: acute myeloid leukemia	3.42E − 03
8	hsa05223: non-small cell lung cancer	3.42E − 03
9	hsa04730: long-term depression	3.91E − 03
10	hsa05230: central carbon metabolism in cancer	4.44E − 03