samr - SAM: Significance Analysis of Microarrays
Significance Analysis of Microarrays for differential expression analysis, RNAseq data and related problems.
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5.36 score 3 stars 1 dependents 270 scripts 1.9k downloadsselectiveInference - Tools for Post-Selection Inference
New tools for post-selection inference, for use with forward stepwise regression, least angle regression, the lasso, and the many means problem. The lasso function implements Gaussian, logistic and Cox survival models.
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cpp
4.44 score 6 dependents 305 scripts 523 downloadspcLasso - Principal Components Lasso
A method for fitting the entire regularization path of the principal components lasso for linear and logistic regression models. The algorithm uses cyclic coordinate descent in a path-wise fashion. See URL below for more information on the algorithm. See Tay, K., Friedman, J. ,Tibshirani, R., (2014) 'Principal component-guided sparse regression' <arXiv:1810.04651>.
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3.04 score 22 scripts 190 downloadsclusterRepro - Reproducibility of Gene Expression Clusters
This is a function for validating microarray clusters via reproducibility, based on the paper referenced below.
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2.68 score 1 dependents 16 scripts 360 downloads