Alternatives and similar repositories for scGeneFit-python

Users that are interested in scGeneFit-python are comparing it to the libraries listed below

• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• bioFAM / slalom
  ☆29Updated 2 years ago
• simslab / scHPF
  Single-cell Hierarchical Poisson Factorization
  ☆73Updated 3 years ago
• yanailab / knn-smoothing
  K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data
  ☆56Updated 3 years ago
• Teichlab / MultiMAP
  MultiMAP for integration of single cell multi-omics
  ☆56Updated last year
• berenslab / umi-normalization
  Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…
  ☆40Updated 3 years ago
• calico / velodyn
  Dynamical systems methods for RNA velocity analysis
  ☆24Updated 4 years ago
• theislab / pseudodynamics
  Dynamic models for single-cell RNA-seq time series.
  ☆40Updated 6 years ago
• vals / Blog
  ☆37Updated 2 months ago
• raphael-group / netNMF-sc
  netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data
  ☆23Updated 4 years ago
• jingshuw / SAVERX
  R package for transfer learning of single-cell RNA-seq denoising
  ☆30Updated 3 years ago
• jessemzhang / tn_test
  post-clustering differential expression test
  ☆36Updated 6 years ago
• andrewcharlesjones / cplvm
  Contrastive Poisson latent variable models (CPLVMs)
  ☆11Updated 3 years ago
• jzhoulab / quasildr
  Quasilinear data representations for single-cell omics data analysis
  ☆42Updated 2 years ago
• dawe / schist
  An interface for Nested Stochastic Block Model for single cell analysis
  ☆37Updated 2 months ago
• KrishnaswamyLab / scprep
  A collection of scripts and tools for loading, processing, and handling single cell data.
  ☆74Updated last month
• yanailab / enhance
  ENHANCE: Accurate denoising of single-cell RNA-Seq data (Python implementation)
  ☆14Updated 6 years ago
• immunogenomics / cna
  Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-…
  ☆55Updated 3 months ago
• Katsevich-Lab / sceptre
  An R package for single-cell CRISPR screen data analysis emphasizing statistical rigor, massive scalability, and ease of use.
  ☆33Updated 2 weeks ago
• const-ae / transformGamPoi-Paper
  ☆28Updated 2 years ago
• brianhie / trajectorama
  Multi-study integration of cellular trajectories
  ☆19Updated 5 years ago
• markrobinsonuzh / scRNAseq_clustering_comparison
  A study to compare methods for clustering of scRNA-seq data
  ☆43Updated last year
• willtownes / nsf-paper
  Nonnegative spatial factorization for multivariate count data
  ☆59Updated 2 years ago
• kieranrcampbell / clonealign
  Bayesian inference of clone-specific gene expression estimates by integrating single-cell RNA-seq and single-cell DNA-seq data
  ☆36Updated 4 years ago
• dissatisfaction-ai / scHierarchy
  A toolking for cell type hierarchies: marker selection & consistent classification
  ☆22Updated last year
• ratschlab / scim
  Code for Universal Single-Cell Matching with Unpaired Feature Sets
  ☆21Updated 4 years ago
• mohuangx / SAVER-paper
  Scripts for data and figure generation in SAVER paper
  ☆17Updated 4 years ago
• drighelli / awesome-spatial-omics
  ☆31Updated 4 years ago
• Vivianstats / scDesign
  A statistical simulator for rational scRNA-seq experimental design
  ☆12Updated 4 years ago
• lkmklsmn / insct
  scRNAseq integration with triplet neural networks
  ☆41Updated 2 years ago