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gwaybio authored Aug 8, 2017
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# Variational Autoencoder - Pan Cancer
# Tybalt

*Gregory Way and Casey Greene 2017*
### *A Variational Autoencoder trained on Pan-Cancer Gene Expression*

**Gregory Way and Casey Greene 2017**

[![DOI](https://zenodo.org/badge/97131241.svg)](https://zenodo.org/badge/latestdoi/97131241)

The repository stores scripts to train, evaluate, and extract knowledge from
a variational autoencoder trained on 33 different cancer-types from The Cancer
a variational autoencoder (VAE) trained on 33 different cancer-types from The Cancer
Genome Atlas (TCGA).

The specific VAE model is named [*Tybalt*](https://en.wikipedia.org/wiki/Tybalt)
after an instigative, cat-like character in Shakespeare's "Romeo and Juliet". Just
as the character Tybalt sets off the series of events in the play, the model Tybalt
begins the foray of VAE manifold learning in transcriptomics.
[Also, deep unsupervised learning likes cats](https://arxiv.org/abs/1112.6209).

## The Data

TCGA has collected numerous different genomic measurements from over 10,000
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