Research map / Probabilistic and scientific modeling / Molecules and proteins
PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use PANTHER instead of TASTE | TCGA cancer type classification · TCGA cancer type test set | accuracy: 0.8369 -> 0.8644 | Helped |
| Use PANTHER instead of LogPar | hypertension subtype classification · Hypertension test set | accuracy: 0.6532 -> 0.6888 | Helped |
| Use PANTHER instead of TASTE | hypertension subtype classification · Hypertension test set | accuracy: 0.6532 -> 0.6888 | Helped |
| Concatenate pathway counts with gene counts | NMF for TCGA cancer type classification · TCGA cancer type test set | accuracy: 0.8173 -> 0.7957 | Hurt |
| Concatenate pathway counts with gene counts | penalized logistic regression for TCGA cancer type classification · TCGA cancer type test set | accuracy: 0.8016 -> 0.7682 | Hurt |
| Concatenate pathway counts with gene counts | penalized logistic regression for hypertension classification · Hypertension test set | accuracy: 0.5938 -> 0.5819 | Hurt |
| Concatenate pathway counts with gene counts | NMF for hypertension classification · Hypertension test set | accuracy: 0.6390 -> 0.6318 | Hurt |
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