FORESEE: a tool for the systematic comparison of translational drug response modeling pipelines

SUMMARY: Translational models that utilize omics data generated in in vitro studies to predict the drug efficacy of anti-cancer compounds in patients are highly distinct, which complicates the benchmarking process for new computational approaches. In reaction to this, we introduce the uniFied transl...

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Detalles Bibliográficos
Autores principales: Turnhoff, Lisa-Katrin, Hadizadeh Esfahani, Ali, Montazeri, Maryam, Kusch, Nina, Schuppert, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761955/
https://www.ncbi.nlm.nih.gov/pubmed/30821320
http://dx.doi.org/10.1093/bioinformatics/btz145

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761955/
https://www.ncbi.nlm.nih.gov/pubmed/30821320
http://dx.doi.org/10.1093/bioinformatics/btz145

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