Tissue-specific identification of multi-omics features for pan-cancer drug response prediction

Current statistical models for drug response prediction and biomarker identification fall short in leveraging the shared and unique information from various cancer tissues and multi-omics profiles. We developed mix-lasso model that introduces an additional sample group penalty term to capture tissue...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Zhi, Wang, Shixiong, Zucknick, Manuela, Aittokallio, Tero
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385562/
https://www.ncbi.nlm.nih.gov/pubmed/35992090
http://dx.doi.org/10.1016/j.isci.2022.104767

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385562/
https://www.ncbi.nlm.nih.gov/pubmed/35992090
http://dx.doi.org/10.1016/j.isci.2022.104767

Ejemplares similares