broadinstitute/cell-painting-vae: v1.0
Description
Software to reproduce the analysis for our paper:
Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic By: Yuen Ler Chow, Shantanu Singh, Anne E. Carpenter, and Gregory P. Way
We train and evaluate three different VAE variants (vanilla, beta, and mmd) on three different datasets (two image-based profiling datasets and one gene expression dataset).
Files
broadinstitute/cell-painting-vae-v1.0.zip
Files
(433.6 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:b61734f41e733ea4ab2c9fd32100ec56
|
433.6 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/broadinstitute/cell-painting-vae/tree/v1.0 (URL)