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Stanford statistical learning software: collection of packages from the Hastie, Taylor, and Tibshirani labs
[R]
selectiveInference: post-selection inference for forward stepwise regression, lasso, LAR and the many means problem. [R] glmnet: Lasso and elastic-net regularized generalized linear models [R] [MATLAB] [comparison with Nesterov] SAM: Significance Analysis of Microarrays [Excel] [R] Correlate: A method for the integrative analysis of 2 genomic data sets [Excel] PAM: Prediction Analysis for Microarrays [Excel] [R] CGH-Miner: Calling gains and losses in array CGH data using the CLAC method [R] Superpc: Supervised principal components [R] Gene Set Analysis: Software and resources for inference on gene sets in microarray studies [R] cghFLasso: Calling gains and losses in Array CGH [R] Glasso: Graphical lasso [R, MATLAB] |