Alternatives and similar repositories for scedar:

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

• lkmklsmn / insct
  scRNAseq integration with triplet neural networks
  ☆39Updated 2 years ago
• klarman-cell-observatory / hdst
  ☆19Updated 5 years 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…
  ☆57Updated 3 months ago
• caleblareau / asap_reproducibility
  Reproducing all analyses and figures for the ASAP-seq paper
  ☆29Updated 3 years ago
• nolanlab / vortex
  VorteX Clustering Environment - Java graphical tool for single-cell analysis, clustering and visualization. Latest release:
  ☆34Updated last year
• KenLauLab / dropkick
  Automated cell filtering for single-cell RNA sequencing data
  ☆24Updated last year
• theislab / pseudodynamics
  Dynamic models for single-cell RNA-seq time series.
  ☆39Updated 6 years ago
• camlab-bioml / astir
  astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨
  ☆52Updated 7 months ago
• aertslab / arboreto
  A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
  ☆54Updated 9 months ago
• SCCAF / sccaf
  Single-Cell Clustering Assessment Framework
  ☆96Updated last year
• LungCellAtlas / mapping_data_to_the_HLCA
  Repository to perform mapping of new datasets to the Human Lung Cell Atlas.
  ☆19Updated last year
• jzhoulab / quasildr
  Quasilinear data representations for single-cell omics data analysis
  ☆42Updated last year
• gillislab / MetaNeighbor
  A method to rapidly assess cell type identity using both functional and random gene sets
  ☆36Updated last week
• scverse / scanpy_usage
  Scanpy use cases.
  ☆79Updated 4 years ago
• MiraldiLab / maxATAC
  Transcription Factor Binding Prediction from ATAC-seq and scATAC-seq with Deep Neural Networks
  ☆27Updated 3 months ago
• Sun-lab / ideas
  Individual level Differential Expression Analysis for Single cells
  ☆23Updated 2 years ago
• lcmmichielsen / scHPL
  ☆34Updated 8 months ago
• immunitastx / monkeybread
  Analyzing cellular niches in spatial transcriptomics data
  ☆28Updated 2 months ago
• ebi-gene-expression-group / scanpy-scripts
  Scripts for using scanpy
  ☆32Updated this week
• dpeerlab / Harmony
  Harmony framework for connecting scRNA-seq data from discrete time points
  ☆46Updated 6 months ago
• cellatlas / human
  ☆42Updated 2 months ago
• quadbio / VoxHunt
  VoxHunt: Resolving human brain organoid heterogeneity through single-cell genomic comparison to spatial brain maps
  ☆44Updated 10 months ago
• BIRSBiointegration / Hackathon
  Multi-omics studies are available here
  ☆51Updated 2 years ago
• theislab / scib-pipeline
  Snakemake pipeline that works with the scIB package to benchmark data integration methods.
  ☆67Updated last year
• theMILOlab / SPATA
  SPATA Package for spatial gene expression analysis
  ☆21Updated 2 years ago
• KlugerLab / ALRA
  Imputation method for scRNA-seq based on low-rank approximation
  ☆75Updated last year
• kundajelab / alzheimers_parkinsons
  Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis
  ☆45Updated 4 years ago
• mathewchamberlain / SignacX
  Signac
  ☆24Updated last year
• forrest-lab / NATMI
  NATMI: Network Analysis Toolkit for the Multicellular Interactions
  ☆35Updated 3 years ago
• berenslab / umi-normalization
  Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…
  ☆41Updated 2 years ago