From: Predicting cancer involvement of genes from heterogeneous data
Gene name | Cancer Linker degree | Number of cancer types differentially expressed | SF-Probability |
---|---|---|---|
CDK9 | 11 | 6 | 0.97 |
GATA2 | 10 | 5 | 0.99 |
ATF2 | 17 | 6 | 0.94 |
CCNB1 | 13 | 3 | 0.73 |
CSNK2A2 | 22 | 4 | 0.89 |
PPARBP | 14 | 5 | 0.99 |
CSK | 19 | 5 | 0.90 |
KIN27 | 35 | 6 | 0.82 |
CUL1 | 12 | 3 | 0.85 |
DKFZP686I18166 | 11 | 6 | 0.99 |
STAT5B | 20 | 6 | 0.99 |
MCM7 | 14 | 4 | 0.99 |
SURB7 | 14 | 4 | 0.74 |
MST1R | 10 | 4 | 0.74 |
KHDRBS1 | 17 | 6 | 0.92 |
SYK | 17 | 4 | 0.99 |
KDR | 15 | 4 | 0.85 |
NME2 | 11 | 5 | 0.99 |
POLR2B | 12 | 3 | 0.82 |
SRF | 14 | 7 | 0.97 |