A dynamic single cell-based framework for digital twins to prioritize disease genes and drug targets

BACKGROUND: Medical digital twins are computational disease models for drug discovery and treatment. Unresolved problems include how to organize and prioritize between disease-associated changes in digital twins, on cellulome- and genome-wide scales. We present a dynamic framework that can be used t...

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Detalles Bibliográficos
Autores principales: Li, Xinxiu, Lee, Eun Jung, Lilja, Sandra, Loscalzo, Joseph, Schäfer, Samuel, Smelik, Martin, Strobl, Maria Regina, Sysoev, Oleg, Wang, Hui, Zhang, Huan, Zhao, Yelin, Gawel, Danuta R., Bohle, Barbara, Benson, Mikael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074288/
https://www.ncbi.nlm.nih.gov/pubmed/35513850
http://dx.doi.org/10.1186/s13073-022-01048-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074288/
https://www.ncbi.nlm.nih.gov/pubmed/35513850
http://dx.doi.org/10.1186/s13073-022-01048-4

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