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...

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Detalles Bibliográficos
Autores principales: Chow, Yuen Ler, Singh, Shantanu, Carpenter, Anne E., Way, Gregory P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
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

Internet

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

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