Predicting Cancer Drug Response In Vivo by Learning an Optimal Feature Selection of Tumour Molecular Profiles

(1) Background: Inter-tumour heterogeneity is one of cancer’s most fundamental features. Patient stratification based on drug response prediction is hence needed for effective anti-cancer therapy. However, single-gene markers of response are rare and/or may fail to achieve a significant impact in th...

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Detalles Bibliográficos
Autores principales: Nguyen, Linh C., Naulaerts, Stefan, Bruna, Alejandra, Ghislat, Ghita, Ballester, Pedro J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533095/
https://www.ncbi.nlm.nih.gov/pubmed/34680436
http://dx.doi.org/10.3390/biomedicines9101319

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533095/
https://www.ncbi.nlm.nih.gov/pubmed/34680436
http://dx.doi.org/10.3390/biomedicines9101319

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