Additional file 4 of Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations

Model coefficients for predicting TP53 loss of function. Using all compressed features in the model implicates compressed features with cancer hallmark signatures. Associated with Fig. 7.