Drug-induced cell viability prediction from LINCS-L1000 through WRFEN-XGBoost algorithm

BACKGROUND: Predicting the drug response of the cancer diseases through the cellular perturbation signatures under the action of specific compounds is very important in personalized medicine. In the process of testing drug responses to the cancer, traditional experimental methods have been greatly h...

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Detalles Bibliográficos
Autores principales: Lu, Jiaxing, Chen, Ming, Qin, Yufang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788947/
https://www.ncbi.nlm.nih.gov/pubmed/33407085
http://dx.doi.org/10.1186/s12859-020-03949-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788947/
https://www.ncbi.nlm.nih.gov/pubmed/33407085
http://dx.doi.org/10.1186/s12859-020-03949-w

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