A Multi-Omics Interpretable Machine Learning Model Reveals Modes of Action of Small Molecules

High-throughput screening and gene signature analyses frequently identify lead therapeutic compounds with unknown modes of action (MoAs), and the resulting uncertainties can lead to the failure of clinical trials. We developed an approach for uncovering MoAs through an interpretable machine learning...

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Detalles Bibliográficos
Autores principales: Patel-Murray, Natasha L., Adam, Miriam, Huynh, Nhan, Wassie, Brook T., Milani, Pamela, Fraenkel, Ernest
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6976599/
https://www.ncbi.nlm.nih.gov/pubmed/31969612
http://dx.doi.org/10.1038/s41598-020-57691-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6976599/
https://www.ncbi.nlm.nih.gov/pubmed/31969612
http://dx.doi.org/10.1038/s41598-020-57691-7

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