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Published August 31, 2021 | Version v1.0
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broadinstitute/cell-painting-vae: v1.0

  • 1. Broad Institute of MIT and Harvard

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).

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broadinstitute/cell-painting-vae-v1.0.zip

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