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Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic
A variational autoencoder (VAE) is a machine learning algorithm, useful for generating a compressed and interpretable latent space. These representations have been generated from various biomedical data types and can be used to produce realistic-looking simulated data. However, standard vanilla VAEs...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906577/ https://www.ncbi.nlm.nih.gov/pubmed/35213530 http://dx.doi.org/10.1371/journal.pcbi.1009888 |