Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient

BACKGROUND: The last decade has seen a major increase in the availability of genomic data. This includes expert-curated databases that describe the biological activity of genes, as well as high-throughput assays that measure gene expression in bulk tissue and single cells. Integrating these heteroge...

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Detalles Bibliográficos
Autores principales: Harikumar, Haripriya, Quinn, Thomas P., Rana, Santu, Gupta, Sunil, Venkatesh, Svetha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340371/
https://www.ncbi.nlm.nih.gov/pubmed/34353329
http://dx.doi.org/10.1186/s13040-021-00263-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340371/
https://www.ncbi.nlm.nih.gov/pubmed/34353329
http://dx.doi.org/10.1186/s13040-021-00263-w

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