Alternatives and similar repositories for cplvm

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

• KChen-lab / SCMER
  Marker Selection by matching manifolds and elastic net
  ☆23Updated 7 months ago
• solevillar / scGeneFit-python
  Python code for genetic marker selection using linear programming
  ☆42Updated last year
• const-ae / transformGamPoi-Paper
  ☆27Updated last year
• RabadanLab / randomly
  A Library for Denoising Single-Cell Data with Random Matrix Theory
  ☆37Updated last year
• yangzi4 / iNMF
  Source code for integrative nonnegative matrix factorization
  ☆18Updated 6 years ago
• xzhoulab / DRComparison
  Comparison of dimensionality reduction methods
  ☆30Updated 5 years ago
• calico / velodyn
  Dynamical systems methods for RNA velocity analysis
  ☆24Updated 4 years ago
• anna-neufeld / countsplit
  ☆21Updated last year
• mbernste / SpatialCorr
  SpatialCorr: Identify gene sets with spatially varying correlation
  ☆17Updated last year
• andreaskapou / scMET
  Bayesian modelling of DNA methylation heterogeneity at single-cell resolution
  ☆23Updated last year
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆60Updated 4 years ago
• theislab / pseudodynamics
  Dynamic models for single-cell RNA-seq time series.
  ☆40Updated 6 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• pmelsted / AM_2024
  Analaysis for the batch correction paper
  ☆10Updated last month
• willtownes / spatial-factorization-py
  Probabilistic factor models for spatially correlated data. Includes nonnegative and real-valued versions.
  ☆16Updated 6 months ago
• bioFAM / slalom
  ☆29Updated 2 years ago
• architverma1 / tGPLVM
  tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data
  ☆17Updated 6 years ago
• willtownes / nsf-paper
  Nonnegative spatial factorization for multivariate count data
  ☆58Updated last year
• raphael-group / netNMF-sc
  netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data
  ☆23Updated 4 years ago
• simslab / cluster_diffex2018
  scRNA-seq clustering, visualization, and differential expression pipeline from Sims Lab papers
  ☆21Updated 3 years ago
• KenLauLab / DR-structure-preservation
  A quantitative framework for evaluating data structure preservation by dimensionality reduction techniques
  ☆16Updated 4 years ago
• ncchung / jackstraw
  Statistical Inference for Unsupervised Learning
  ☆16Updated 5 months ago
• calico / scmmd
  Maximum mean discrepancy comparisons for single cell profiling experiments
  ☆16Updated 3 years ago
• drighelli / awesome-spatial-omics
  ☆31Updated 4 years ago
• YosefLab / totalVI_reproducibility
  ☆16Updated 2 years ago
• klarman-cell-observatory / sc_eVIP
  Variant impact phenotyping using Perturb-seq
  ☆9Updated last year
• dylkot / scsim
  Simulate single-cell RNA-SEQ data using the Splatter statistical framework but implemented in python. In addition, simulate doublet cells…
  ☆27Updated 3 years ago
• Katsevich-Lab / sceptre
  An R package for single-cell CRISPR screen data analysis emphasizing statistical rigor, massive scalability, and ease of use.
  ☆30Updated last month
• jingshuw / descend
  ☆16Updated 3 years ago
• SaskiaFreytag / cluster_benchmarking_code
  ☆16Updated 6 years ago