cbg-ethz / SGS
Inference in Bayesian Networks with R
☆11Updated 2 years ago
Alternatives and similar repositories for SGS:
Users that are interested in SGS are comparing it to the libraries listed below
- Map single-cell transcriptomes to copy number evolutionary trees.☆13Updated 7 months ago
- A Python package for General Graphical Lasso computation☆34Updated last month
- A library for bayesian variable selection☆28Updated 2 months ago
- Learning causal or non-causal graphical models using information theory☆27Updated this week
- Contrastive Poisson latent variable models (CPLVMs)☆11Updated 3 years ago
- implementation for Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data☆13Updated 4 years ago
- A versatile interface to the knockoff methodology.☆24Updated 2 years ago
- BhGLM (Bayesian hierarchical GLMs and survival models)☆20Updated 9 months ago
- Path algorithm for generalized lasso problems☆32Updated 2 years ago
- A Library for Denoising Single-Cell Data with Random Matrix Theory☆37Updated last year
- Scalable Ultra-Sparse Bayesian PCA☆30Updated last year
- R implementation of VCBART☆21Updated 10 months ago
- Git Repo for simulating Boolean Models☆33Updated 9 months ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 4 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆59Updated 4 years ago
- Sparse Signaling Pathway Sampling: MCMC for signaling pathway inference☆14Updated 2 years ago
- Fast Inference of Networks from Directed Regulations☆21Updated last year
- Probabilistic contrastive principal component analysis (PCPCA)☆24Updated 3 years ago
- Modeling and Analysis of (Statistical) Genetics data in python☆16Updated last month
- High-Dimensional Undirected Graph Estimation☆12Updated last year
- Large-scale Bayesian variable selection for R and MATLAB.☆41Updated 2 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆152Updated last year
- ☆40Updated 4 months ago
- A Bayesian group factor model with structured sparsity☆20Updated 9 years ago
- A toolbox for sparse contrastive principal component analysis☆12Updated last month
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆38Updated 2 years ago
- Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods☆21Updated last month
- Joint Trajectory Inference for Single-cell Genomics Using Deep Learning with a Mixture Prior☆27Updated 2 weeks ago
- An R package for feature selection in topological spaces.☆11Updated 3 years ago
- R package for fast maximum-likelihood estimation of mixture proportions using SQP.☆11Updated last year