Titlebook: Cancer Bioinformatics; Alexander Krasnitz Book 2019 Springer Science+Business Media, LLC, part of Springer Nature 2019 cancer informatics.

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Somatization and Bodily Distress DisorderT), and its eponymous R language implementation. TBEST employs hierarchical clustering to partition the data at a user-specified level of significance. Functionalities of the package are illustrated using as an example a benchmark data set of mRNA expression levels in leukemia.

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Predictive Modeling of Anti-Cancer Drug Sensitivity from Genetic Characterizations,to arrive at an integrated predictive model. Integrated modeling employs the complementary information from heterogeneous genetic characterizations to improve the prediction error as well as lowering the error confidence interval.

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