Alternatives and similar repositories for multimil

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

• wanglab-broad / CAST
  CAST package
  ☆40Updated 10 months ago
• LouisFaure / scFates
  a scalable python suite for tree inference and advanced pseudotime analysis from scRNAseq data.
  ☆60Updated last month
• const-ae / pyLemur
  A Python implementation of the LEMUR algorithm for analyzing multi-condition single-cell RNA-seq data.
  ☆26Updated 8 months ago
• earmingol / cell2cell
  User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins
  ☆64Updated last week
• JEFworks-Lab / CRAWDAD
  Cell-type Relationship Analysis Workflow Done Across Distances
  ☆36Updated 3 months ago
• ajaynadig / TRADEtools
  ☆29Updated 6 months ago
• loosolab / scanpro
  A modular tool for proportion analysis in single-cell sequencing data
  ☆23Updated this week
• rs239 / velorama
  Gene regulatory network inference for RNA velocity and pseudotime data
  ☆27Updated 5 months ago
• theislab / scTab
  ☆59Updated last year
• StatBiomed / SpatialDM
  Spatial direct messaging detected by bivariate Moran
  ☆27Updated last month
• potulabe / symphonypy
  Port of symphony algorithm of single-cell reference atlas mapping to Python
  ☆29Updated this week
• JEFworks-Lab / veloviz
  RNA-velocity informed embeddings for visualizing cellular trajectories
  ☆45Updated 3 years ago
• Teichlab / sctk
  ☆40Updated last month
• theislab / cross_system_integration
  ☆13Updated last week
• raphael-group / paste2
  Probabilistic Alignment of Spatial Transcriptomics Experiments v.2
  ☆38Updated 6 months ago
• hsmaan / Iniquitate
  Analysis of imbalanced data and its impacts in a scRNA-seq integration setting
  ☆30Updated 6 months 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
• shuxiaoc / maxfuse
  ☆55Updated last year
• Novartis / scar
  scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
  ☆54Updated last year
• pachterlab / concordex
  Identification of spatial homogeneous regions
  ☆21Updated 8 months ago
• Sanofi-Public / spatialone-pipeline
  Spatial One
  ☆28Updated 10 months ago
• wallet-maker / cytopus
  Single cell omics biology annotations
  ☆51Updated 4 months ago
• theislab / spapros
  Python package for Probe set selection for targeted spatial transcriptomics.
  ☆43Updated 2 weeks ago
• haniffalab / webatlas-pipeline
  A data pipeline built in Nextflow to process spatial and single-cell experiment data for visualisation in WebAtlas
  ☆64Updated 2 months ago
• immunitastx / monkeybread
  Analyzing cellular niches in spatial transcriptomics data
  ☆30Updated 9 months ago
• YosefLab / mrvi_archive
  Multi-resolution Variational Inference
  ☆22Updated 2 months ago
• dpeerlab / ENVI
  ☆50Updated 3 months ago
• AllenInstitute / scrattch.bigcat
  iterative clustering pipeline of big single cell datasets.
  ☆33Updated last week
• emdann / milopy
  Python implementation of Milo for differential abundance testing on KNN graph
  ☆74Updated 6 months ago
• rargelaguet / mouse_organogenesis_10x_multiome_publication
  Code to reproduce the analysis of "Decoding gene regulation in the mouse embryo using single-cell multi-omics""
  ☆40Updated 3 years ago