pamattei / GSPPCALinks
This R code implements the GSPPCA algorithm for high-dimensional unsupervised feature selection.
☆10Updated 5 months ago
Alternatives and similar repositories for GSPPCA
Users that are interested in GSPPCA are comparing it to the libraries listed below
Sorting:
- Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology☆32Updated 2 months ago
- Branching Gaussian process☆30Updated 2 years ago
- False discovery rate regression☆10Updated 5 years ago
- A versatile interface to the knockoff methodology.☆26Updated 3 years ago
- R package for dimensionality reduction of small datasets☆69Updated 2 months ago
- A Bayesian group factor model with structured sparsity☆22Updated 10 years ago
- ☆14Updated last year
- Large-scale Bayesian variable selection for R and MATLAB.☆41Updated 2 years ago
- Path algorithm for generalized lasso problems☆33Updated 3 years ago
- Parallel opt-SNE implementation with Python wrapper☆38Updated 3 years ago
- Stability Selection with Error Control☆26Updated 4 years ago
- Perform PCA on data with missing values in R☆53Updated 2 years ago
- Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates☆20Updated 2 years ago
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 5 years ago
- Vintage Sparse PCA for Semi-Parametric Network Analysis☆26Updated 4 months ago
- generalized principal component analysis (GLM-PCA) implemented in python☆61Updated 4 years ago
- Sparse Principal Component Analysis (SPCA) using Variable Projection☆71Updated 7 years ago
- implementation for Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data☆14Updated 5 years ago
- Sparse reduced-rank regression☆20Updated last year
- friendly command-line tool for initializing python packages☆18Updated 5 years ago
- DYNamics Agnostic Network MOdels☆18Updated 7 years ago
- A toolbox for sparse contrastive principal component analysis☆12Updated 10 months ago
- An R package for analysis of curve data with phase and amplitude variation☆20Updated 6 years ago
- BhGLM (Bayesian hierarchical GLMs and survival models)☆21Updated last year
- ☆12Updated 3 years ago
- A demo and tutorial for how to use git and singularity to make your research more portable and reproducible☆26Updated 9 years ago
- A Library for Denoising Single-Cell Data with Random Matrix Theory☆37Updated 2 years ago
- Software for in silico evolution - Paul François' group McGill University☆10Updated 3 years ago
- Python implementation of the Mantel test, a significance test of the correlation between two distance matrices☆35Updated 3 weeks ago
- Various Ideas for Confounder Adjustment in Regression☆24Updated 2 years ago