From: Predicting chemotherapy response using a variational autoencoder approach
Cancer type | AUROC (mean) | p (Welch’s t-test) | |||||
---|---|---|---|---|---|---|---|
VAE | Raw data | PCA | ICA | VAE versus Raw data | VAE versus PCA | VAE versus ICA | |
BRCA | 0.674 | 0.649 | 0.614 | 0.609 | \(8.07 \times 10^{-4}\) | \(3.80 \times 10^{-12}\) | \(3.39 \times 10^{-14}\) |
PAAD | 0.738 | 0.694 | 0.710 | 0.685 | \(6.99 \times 10^{-6}\) | \(5.04 \times 10^{-3}\) | \(2.41 \times 10^{-6}\) |
COAD | 0.707 | 0.674 | 0.726 | 0.689 | \(1.19 \times 10^{-3}\) | \(2.81 \times 10^{-2}\) | \(5.65 \times 10^{-2}\) |
BLCA | 0.659 | 0.626 | 0.593 | 0.650 | \(7.81 \times 10^{-5}\) | \(4.27 \times 10^{-9}\) | \(2.61 \times 10^{-1}\) |
SARC | 0.704 | 0.679 | 0.682 | 0.701 | \(3.49 \times 10^{-2}\) | \(2.91 \times 10^{-2}\) | \(8.64 \times 10^{-1}\) |