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Investigation of model stacking for drug sensitivity prediction

BACKGROUND: A significant problem in precision medicine is the prediction of drug sensitivity for individual cancer cell lines. Predictive models such as Random Forests have shown promising performance while predicting from individual genomic features such as gene expressions. However, accessibility...

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書誌詳細
出版年:BMC Bioinformatics
主要な著者: Matlock, Kevin, De Niz, Carlos, Rahman, Raziur, Ghosh, Souparno, Pal, Ranadip
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5872495/
https://ncbi.nlm.nih.gov/pubmed/29589559
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2060-2
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