From: scFSNN: a feature selection method based on neural network for single-cell RNA-seq data
DE | scFSNN | SurvNet | \(\textrm{L}_1\) | \(\textrm{L}_2\) | GL | SGL |
---|---|---|---|---|---|---|
0.02 | 0.1281 | 0.0901 | 0.8962 | 0.9800 | 0.5579 | 0.5137 |
 | (0.0753) | (0.0523) | (0.1432) | (0.0015) | (0.4372) | (0.3881) |
0.03 | 0.0537 | 0.0733 | 0.7996 | 0.9698 | 0.3956 | 0.3358 |
 | (0.0394) | (0.0381) | (0.2211) | (0.0019) | (0.4145) | (0.4077) |
0.05 | 0.0368 | 0.0727 | 0.6859 | 0.9506 | 0.3738 | 0.1879 |
 | (0.0157) | (0.0279) | (0.2884) | (0.0032) | (0.4192) | (0.3518) |
0.1 | 0.0283 | 0.0881 | 0.6944 | 0.8993 | 0.3039 | 0.1190 |
 | (0.0160) | (0.0223) | (0.2705) | (0.0039) | (0.4110) | (0.2934) |
0.2 | 0.0267 | 0.0846 | 0.5507 | 0.8074 | 0.2664 | 0.0868 |
 | (0.0181) | (0.0194) | (0.2008) | (0.0057) | (0.3535) | (0.2413) |
0.3 | 0.0281 | 0.0727 | 0.4791 | 0.7201 | 0.1698 | 0.1192 |
 | (0.0149) | (0.0112) | (0.2202) | (0.0048) | (0.2760) | (0.2567) |