samr - SAM: Significance Analysis of Microarrays
Significance Analysis of Microarrays for differential expression analysis, RNAseq data and related problems.
Last updated 6 years ago
fortran
4.97 score 3 stars 1 dependents 208 scripts 555 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.
Last updated 5 years ago
cpp
4.33 score 6 dependents 238 scripts 464 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>.
Last updated 4 years ago
fortran
3.04 score 22 scripts 211 downloadsclusterRepro - Reproducibility of Gene Expression Clusters
This is a function for validating microarray clusters via reproducibility, based on the paper referenced below.
Last updated 6 years ago
2.65 score 1 dependents 15 scripts 427 downloads