Predicting response to BET inhibitors using computational modeling: A BEAT AML project study

Despite advances in understanding the molecular pathogenesis of acute myeloid leukaemia (AML), overall survival rates remain low. The ability to predict treatment response based on individual cancer genomics using computational modeling will aid in the development of novel therapeutics and personali...

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Detalles Bibliográficos
Autores principales: Drusbosky, Leylah M., Vidva, Robinson, Gera, Saji, Lakshminarayana, Anjanasree V., Shyamasundar, Vijayashree P., Agrawal, Ashish Kumar, Talawdekar, Anay, Abbasi, Taher, Vali, Shireen, Tognon, Cristina E., Kurtz, Stephen E., Tyner, Jeffrey W., McWeeney, Shannon K., Druker, Brian J., Cogle, Christopher R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6442457/
https://www.ncbi.nlm.nih.gov/pubmed/30642575
http://dx.doi.org/10.1016/j.leukres.2018.11.010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6442457/
https://www.ncbi.nlm.nih.gov/pubmed/30642575
http://dx.doi.org/10.1016/j.leukres.2018.11.010

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