greenelab/tybalt: Tybalt - Evaluating Deeper Models and Latent Space

The release tracks recent developments in evaluating tybalt models. The release includes an evaluation of two independent 2 hidden layer models (one with 100 and the other with 300 hidden layer size) given in this notebook as well as a latent space arithmetic analysis in high grade serous ovarian cancer subtypes in this notebook.

In each analysis, the model was trained using TCGA pan-cancer gene expression data.