Structured penalized regression for drug sensitivity prediction

13 Feb 2019Zhi ZhaoManuela Zucknick

Large-scale \textit{in vitro} drug sensitivity screens are an important tool in personalized oncology to predict the the effectiveness of potential cancer drugs. The prediction of the sensitivity of cancer cell lines to a panel of drugs is a multivariate regression problem with high-dimensional heterogeneous multi-omics data as input data and with potentially strong correlations between the outcome variables which represent the sensitivity to the different drugs... (read more)

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