Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic.
Yuen Ler ChowShantanu SinghAnne E. CarpenterGregory P. WayPublished in: PLoS Comput. Biol. (2022)
Keyphrases
- latent space
- latent variables
- low dimensional
- gaussian process
- dimensionality reduction
- lower dimensional
- generative model
- manifold learning
- feature space
- gaussian processes
- parameter space
- high dimensional
- image segmentation
- high dimensional spaces
- probabilistic latent semantic analysis
- latent variable models
- matrix factorization
- gaussian process latent variable models
- distance metric
- high dimensional data
- transfer learning
- gaussian mixture
- probabilistic model
- image processing
- dimension reduction
- computer vision
- semi supervised
- feature selection