Machine Learning Concepts and Tools for Statistical Genomics

  • V. J. Carey
Part of the Statistics for Biology and Health book series (SBH)


In this chapter, supervised machine learning methods are described in the context of microarray applications. The most widely used families of machine 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.


Machine Learning Random Forest Class Label Machine Learning Method Generalization Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, Inc. 2005

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  • V. J. Carey

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