Prediction of Acquired Taxane Resistance Using a Personalized Pathway-Based Machine Learning Method

PURPOSE: This study was conducted to develop and validate an individualized prediction model for automated detection of acquired taxane resistance (ATR). MATERIALS AND METHODS: Penalized regression, combinedwith an individualized pathway score algorithm,was applied to construct a predictive model us...

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Detalles Bibliográficos
Autores principales: Kim, Young Rae, Kim, Dongha, Kim, Sung Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Cancer Association 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473276/
https://www.ncbi.nlm.nih.gov/pubmed/30092623
http://dx.doi.org/10.4143/crt.2018.137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473276/
https://www.ncbi.nlm.nih.gov/pubmed/30092623
http://dx.doi.org/10.4143/crt.2018.137

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