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jolars
SLOPE:Sorted L1 Penalized Estimation
Efficient implementations for Sorted L-One Penalized Estimation (SLOPE): generalized linear models regularized with the sorted L1-norm (Bogdan et al. 2015). Supported models include ordinary least-squares regression, binomial regression, multinomial regression, and Poisson regression. Both dense and sparse predictor matrices are supported. In addition, the package features predictor screening rules that enable fast and efficient solutions to high-dimensional problems.
Maintained by Johan Larsson. Last updated 18 days ago.
generalized-linear-modelsslopesparse-regressioncppopenmp
17 stars 9.62 score 75 scripts 3 dependents
bioc
spillR:Spillover Compensation in Mass Cytometry Data
Channel interference in mass cytometry can cause spillover and may result in miscounting of protein markers. We develop a nonparametric finite mixture model and use the mixture components to estimate the probability of spillover. We implement our method using expectation-maximization to fit the mixture model.
Maintained by Marco Guazzini. Last updated 5 months ago.
flowcytometryimmunooncologymassspectrometrypreprocessingsinglecellsoftwarestatisticalmethodvisualizationregression
4.30 score 3 scriptsbioc
vbmp:Variational Bayesian Multinomial Probit Regression
Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors. It estimates class membership posterior probability employing variational and sparse approximation to the full posterior. This software also incorporates feature weighting by means of Automatic Relevance Determination.
Maintained by Nicola Lama. Last updated 5 months ago.
3.30 score 4 scripts