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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| 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 |