Leveraging TCGA gene expression data to build predictive models for cancer drug response

BACKGROUND: Machine learning has been utilized to predict cancer drug response from multi-omics data generated from sensitivities of cancer cell lines to different therapeutic compounds. Here, we build machine learning models using gene expression data from patients’ primary tumor tissues to predict...

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Detalles Bibliográficos
Autores principales: Clayton, Evan A., Pujol, Toyya A., McDonald, John F., Qiu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526215/
https://www.ncbi.nlm.nih.gov/pubmed/32998700
http://dx.doi.org/10.1186/s12859-020-03690-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526215/
https://www.ncbi.nlm.nih.gov/pubmed/32998700
http://dx.doi.org/10.1186/s12859-020-03690-4

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