StATS: Machine Learning tools in R (January 24, 2006).

There are a variety of different models that perform supervised learning or classification problems

• Diagonal Linear Discriminant Analysis (DLDA)
• Neural Networks (NN)
• Support Vector Machines (SVM)
• k Nearest Neighbors (kNN)
• Bagging
• Boosting

R has a library, MLInterfaces, that puts a uniform interface in front of the input and output from all of these procedures. I could not load the MLInterfaces library directly, but could download and  then install the package from

• http://www.bioconductor.org/packages/bioc/1.6/src/contrib/html/MLInterfaces.html

By the way, I am working with a wonderful book now,

• Bioinformatics and Computational Biology Solutions Using R and Bioconductor. Gentleman R, Huber W, Carey VJ, Irizarry RA, Dudoit S (2005) New York, New York: Springer. ISBN: 0387251464. [BookFinder4U link]

that offers a lot of valuable advice on how to use the many advanced features in R and Bioconductor.

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