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.
This tag is associated with analyses submitted to the 2017 NIPS conference.