R package PAM: Prediction Analysis of Microarrays for R. The package pamr provides R functions for carrying out sample classification from gene expression data, by the method of nearest shrunken centroids. PAM is a simple, accurate and fast classifier, providing intrepretable results for the biologist. It has many novel features, including heterogeneity analysis for discriminating a diseased group from a normal one. PAM works under Windows and Unix/Linux and Mac. Under Windows, one may use the R package direct or use a graphical user interface. The latter is an Excel front-end called PAM For Excel. The methodology is described in the paper Diagnosis of multiple cancer types by shrunken centroids of gene expression by Tibshirani, Hastie, Narasimhan and Chu (May 14, 2002).
References in zbMATH (referenced in 1 article )
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- Afsari, Bahman; Braga-Neto, Ulisses M.; Geman, Donald: Rank discriminants for predicting phenotypes from RNA expression (2014)