CREAMMIST: an integrative probabilistic database for cancer drug response prediction

Extensive in vitro cancer drug screening datasets have enabled scientists to identify biomarkers and develop machine learning models for predicting drug sensitivity. While most advancements have focused on omics profiles, cancer drug sensitivity scores precalculated by the original sources are often...

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Detalles Bibliográficos
Autores principales: Yingtaweesittikul, Hatairat, Wu, Jiaxi, Mongia, Aanchal, Peres, Rafael, Ko, Karrie, Nagarajan, Niranjan, Suphavilai, Chayaporn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Database Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825458/
https://www.ncbi.nlm.nih.gov/pubmed/36259664
http://dx.doi.org/10.1093/nar/gkac911

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825458/
https://www.ncbi.nlm.nih.gov/pubmed/36259664
http://dx.doi.org/10.1093/nar/gkac911

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