Alternatives and similar repositories for PARC

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

• LouisFaure / scFates
  a scalable python suite for tree inference and advanced pseudotime analysis from scRNAseq data.
  ☆62Updated 3 months ago
• dawe / schist
  An interface for Nested Stochastic Block Model for single cell analysis
  ☆36Updated 2 months ago
• jfnavarro / st_analysis
  A toolset for analysis and visualisation of Spatial Transcriptomics datasets.
  ☆18Updated 4 years ago
• bioFAM / mofapy2
  Multi-omics factor analysis v2
  ☆54Updated last month
• bendemeo / shannonca
  Information-based dimensionality reduction
  ☆29Updated 11 months ago
• dpeerlab / Harmony
  Harmony framework for connecting scRNA-seq data from discrete time points
  ☆51Updated last year
• almaan / eggplant
  ☆22Updated 3 years ago
• theislab / interactive_plotting
  ☆22Updated 5 years ago
• jzhoulab / quasildr
  Quasilinear data representations for single-cell omics data analysis
  ☆44Updated 2 years ago
• lilab-bcb / harmony-pytorch
  ☆58Updated 6 months ago
• pachterlab / concordex
  Identification of spatial homogeneous regions
  ☆21Updated last month
• BodenmillerGroup / imctools
  Tools to handle IMC data
  ☆23Updated 3 years ago
• Nanostring-Biostats / InSituType
  An R package for performing cell typing in SMI and other single cell data
  ☆43Updated 6 months ago
• JCVenterInstitute / NSForest
  A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA seq…
  ☆66Updated 3 months ago
• maggiecrow / MetaNeighbor
  ☆48Updated 7 years ago
• bioFAM / mofax
  Work with trained factor models in Python
  ☆36Updated last year
• scverse / genomic-features
  Genomic Features in Python from BioConductor's AnnotationHub
  ☆22Updated this week
• rajewsky-lab / spacemake
  ☆45Updated last week
• potulabe / symphonypy
  Port of symphony algorithm of single-cell reference atlas mapping to Python
  ☆32Updated last month
• Novartis / scar
  scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
  ☆56Updated last year
• klarman-cell-observatory / hdst
  ☆19Updated 6 years ago
• chriscainx / mnnpy
  An implementation of MNN (Mutual Nearest Neighbors) correct in python.
  ☆75Updated 2 years ago
• MacoskoLab / slideseq-tools
  Tools for analyzing Slide-seq data
  ☆31Updated 2 years ago
• WangPeng-Lab / scGCO
  Single-cell Graph Cuts Optimization
  ☆16Updated last year
• ratschlab / scim
  Code for Universal Single-Cell Matching with Unpaired Feature Sets
  ☆21Updated 4 years ago
• vanheeringen-lab / scepia
  Single Cell Epigenome-based Inference of Activity
  ☆19Updated 2 years ago
• KenLauLab / dropkick
  Automated cell filtering for single-cell RNA sequencing data
  ☆25Updated 2 years ago
• jbergenstrahle / STUtility
  ☆53Updated 2 years ago
• emdann / milopy
  Python implementation of Milo for differential abundance testing on KNN graph
  ☆76Updated 9 months ago
• lcmmichielsen / scHPL
  ☆37Updated 8 months ago