Alternatives and similar repositories for SGS

Users that are interested in SGS are comparing it to the libraries listed below

• skdeshpande91 / VCBART
  R implementation of VCBART
  ☆22Updated last year
• fabian-sp / GGLasso
  A Python package for General Graphical Lasso computation
  ☆37Updated 7 months ago
• HaohanWang / thePrecisionLasso
  implementation for Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data
  ☆13Updated 5 years ago
• NikolayOskolkov / tSNE_vs_UMAP_GlobalStructure
  Here we address the global structure preservation by tSNE and UMAP
  ☆47Updated 5 years ago
• cbg-ethz / SCATrEx
  Map single-cell transcriptomes to copy number evolutionary trees.
  ☆14Updated last year
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆59Updated 4 years ago
• dkobak / tsne-umap-init
  Initialization is critical for preserving global data structure in both t-SNE and UMAP
  ☆23Updated 4 years ago
• lingfeiwang / findr
  Fast Inference of Networks from Directed Regulations
  ☆22Updated last year
• andrewcharlesjones / pcpca
  Probabilistic contrastive principal component analysis (PCPCA)
  ☆24Updated 3 years ago
• RabadanLab / randomly
  A Library for Denoising Single-Cell Data with Random Matrix Theory
  ☆37Updated 2 years ago
• BasisResearch / millipede
  A library for bayesian variable selection
  ☆31Updated 8 months ago
• HMJiangGatech / huge
  High-Dimensional Undirected Graph Estimation
  ☆12Updated last year
• AtwalLab / BayesPowerlaw
  A package code for fitting power law distributions using Bayesian or Maximum Likelihood approaches.
  ☆12Updated 6 years ago
• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆32Updated 4 years ago
• nyiuab / BhGLM
  BhGLM (Bayesian hierarchical GLMs and survival models)
  ☆20Updated last year
• ManchesterBioinference / BranchedGP
  Branching Gaussian process
  ☆30Updated 2 years ago
• judyboon / BASS
  A Bayesian group factor model with structured sparsity
  ☆21Updated 9 years ago
• lujonathanh / BETS
  Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…
  ☆20Updated 2 years ago
• anna-neufeld / datathin
  ☆14Updated last year
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆154Updated 2 years ago
• andrewcharlesjones / cplvm
  Contrastive Poisson latent variable models (CPLVMs)
  ☆11Updated 3 years ago
• mancusolab / susiepca
  Scalable Ultra-Sparse Bayesian PCA
  ☆31Updated last year
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• msesia / knockoff-filter
  A versatile interface to the knockoff methodology.
  ☆26Updated 3 years ago
• miicTeam / miic_R_package
  Learning causal or non-causal graphical models using information theory
  ☆32Updated 3 months ago
• davisidarta / topometry
  Systematically learn and evaluate manifolds from high-dimensional data
  ☆101Updated 3 weeks ago
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆71Updated last year
• IlyaLab / CombiningDependentPvaluesUsingEBM
  Python, R and Matlab implementation of Brown's Method to combine dependent P-values
  ☆25Updated 7 years ago
• stephenslab / mixsqp
  R package for fast maximum-likelihood estimation of mixture proportions using SQP.
  ☆11Updated last year
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆56Updated 4 years ago