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Titlebook: Bioinformatics and Computational Biology Solutions Using R and Bioconductor; Robert Gentleman,Vincent J. Carey,Sandrine Dudoit Book 2005 S

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Multiple Testing Procedures: the multtest Package and Applications to Genomicsolling a broad class of Type I error rates. The current version of multtest provides MTPs for tests concerning means, differences in means, and regression parameters in linear and Cox proportional hazards models. Typical testing scenarios are illustrated by applying various MTPs implemented in multt
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Machine Learning Concepts and Tools for Statistical Genomics learning methods are described, along with various approaches to learner assessment. The Bioconductor interfaces to machine learning tools are described and illustrated. Key problems of model selection and interpretation are reviewed in examples.
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Browser-based Affymetrix Analysis and Annotation Bioconductor packages into a consistent environment that can be deployed for use by small groups or large departments. Without ever seeing a command prompt, it will take the user from raw data to annotated lists of the most significantly differentially expressed genes. It will optionally make use o
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Preprocessing Overview, and each of them requires specific considerations. These will be described in detail by other chapters in this part of the book. This overview chapter describes relevant data structures, and provides with some broadly applicable theoretical background.
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https://doi.org/10.1007/0-387-29362-0Annotation; DNA; Processing; bioinformatics; biology; calculus; classification; cluster analysis; data analy
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Boston KPro Type I: Complications, and each of them requires specific considerations. These will be described in detail by other chapters in this part of the book. This overview chapter describes relevant data structures, and provides with some broadly applicable theoretical background.
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