cbg-ethz / SGSLinks
Inference in Bayesian Networks with R
☆12Updated 3 years ago
Alternatives and similar repositories for SGS
Users that are interested in SGS are comparing it to the libraries listed below
Sorting:
- Python package for the creation, manipulation, and learning of Causal DAGs☆157Updated 2 years ago
- R implementation of VCBART☆22Updated 2 months ago
- A versatile interface to the knockoff methodology.☆26Updated 3 years ago
- Map single-cell transcriptomes to copy number evolutionary trees.☆14Updated last year
- Fast Inference of Networks from Directed Regulations☆22Updated 2 years ago
- Learning causal or non-causal graphical models using information theory☆32Updated this week
- A Python package for General Graphical Lasso computation☆40Updated 11 months ago
- A Library for Denoising Single-Cell Data with Random Matrix Theory☆37Updated 2 years ago
- A library for bayesian variable selection☆31Updated last year
- implementation for Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data☆14Updated 5 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆61Updated 5 years ago
- Probabilistic contrastive principal component analysis (PCPCA)☆24Updated 4 years ago
- Git Repo for simulating Boolean Models☆36Updated 3 months ago
- Contrastive Poisson latent variable models (CPLVMs)☆11Updated 4 years ago
- Knockoffs for controlled variable selection☆40Updated 6 months ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 5 years ago
- A package code for fitting power law distributions using Bayesian or Maximum Likelihood approaches.☆12Updated 6 years ago
- Initialization is critical for preserving global data structure in both t-SNE and UMAP☆24Updated 5 years ago
- An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data☆52Updated 7 years ago
- BhGLM (Bayesian hierarchical GLMs and survival models)☆21Updated last year
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆20Updated 3 years ago
- A Bayesian group factor model with structured sparsity☆22Updated 10 years ago
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆72Updated last year
- This R code implements the GSPPCA algorithm for high-dimensional unsupervised feature selection.☆10Updated 6 months ago
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 5 years ago
- Branching Gaussian process☆30Updated 2 years ago
- Contrastive PCA☆232Updated 4 months ago
- Path algorithm for generalized lasso problems☆34Updated 3 years ago
- Scalable Ultra-Sparse Bayesian PCA☆31Updated last year
- ☆58Updated 7 months ago