Table 1.
TimeSignature predictive genes
Gene | Freq. | Gene | Freq. | Gene | Freq. |
DDIT4 | 1.00 | GZMB | 0.58 | CAMKK1 | 0.17 |
GHRL | 1.00 | CLEC10 A | 0.50 | DTYMK | 0.17 |
PER1 | 1.00 | PDK1 | 0.50 | NPEPL1 | 0.08 |
EPHX2 | 0.92 | GPCPD1 | 0.50 | MS4A3 | 0.08 |
GNG2 | 0.83 | MUM1 | 0.33 | IL13RA1 | 0.08 |
IL1B | 0.83 | STIP1 | 0.33 | ID3 | 0.08 |
DHRS13 | 0.83 | CHSY1 | 0.25 | MEGF6 | 0.08 |
NR1D1 | 0.75 | AK5 | 0.25 | TCN1 | 0.08 |
ZNF438 | 0.75 | CYB561 | 0.25 | NSUN3 | 0.08 |
NR1D2 | 0.75 | SLPI | 0.25 | POLH | 0.08 |
CD38 | 0.75 | PARP2 | 0.25 | SYT11 | 0.08 |
TIAM2 | 0.75 | PGPEP1 | 0.17 | SH2D1B | 0.08 |
CD1C | 0.75 | C12orf75 | 0.17 | REM2 | 0.08 |
LLGL2 | 0.58 | FKBP4 | 0.17 |
A set of 41 genes is sufficient for accurate TimeSignature prediction. As described in the text, the predictors may vary slightly depending on the training data; the frequency with which each gene was selected as a predictor across 12 repeated runs using different training samples is given. Eighteen are selected the majority of the time; the remaining “auxiliary” predictors vary from run to run. Genes are sorted in order of selection frequency.