Generative modeling of single-cell gene expression for dose-dependent chemical perturbations

Single-cell sequencing reveals the heterogeneity of cellular response to chemical perturbations. However, testing all relevant combinations of cell types, chemicals, and doses is a daunting task. A deep generative learning formalism called variational autoencoders (VAEs) has been effective in predic...

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Detalles Bibliográficos
Autores principales: Kana, Omar, Nault, Rance, Filipovic, David, Marri, Daniel, Zacharewski, Tim, Bhattacharya, Sudin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436058/
https://www.ncbi.nlm.nih.gov/pubmed/37602218
http://dx.doi.org/10.1016/j.patter.2023.100817

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436058/
https://www.ncbi.nlm.nih.gov/pubmed/37602218
http://dx.doi.org/10.1016/j.patter.2023.100817

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