Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients

Cancer patient classification using predictive biomarkers for anti-cancer drug responses is essential for improving therapeutic outcomes. However, current machine-learning-based predictions of drug response often fail to identify robust translational biomarkers from preclinical models. Here, we pres...

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Detalles Bibliográficos
Autores principales: Kong, JungHo, Lee, Heetak, Kim, Donghyo, Han, Seong Kyu, Ha, Doyeon, Shin, Kunyoo, Kim, Sanguk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599252/
https://www.ncbi.nlm.nih.gov/pubmed/33127883
http://dx.doi.org/10.1038/s41467-020-19313-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599252/
https://www.ncbi.nlm.nih.gov/pubmed/33127883
http://dx.doi.org/10.1038/s41467-020-19313-8

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