Alternatives and similar repositories for scIGANs

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

• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆41Updated 3 years ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆89Updated 3 years ago
• YangLabHKUST / Portal
  Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets
  ☆33Updated 2 years ago
• datapplab / AutoClass
  ☆43Updated 3 years ago
• klarman-cell-observatory / scPhere
  ☆101Updated 2 years ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 3 years ago
• ChengF-Lab / autoCell
  ☆16Updated 3 years ago
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆46Updated 2 years ago
• theislab / scArches-reproducibility
  Reproducing result from the paper
  ☆34Updated 4 years ago
• suinleelab / contrastiveVI
  ☆58Updated last year
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆64Updated last year
• shmohammadi86 / ACTIONet
  ACTIONet single-cell analysis framework
  ☆44Updated last year
• zhouzilu / cTPnet
  cTPnet Package
  ☆27Updated 3 years ago
• bm2-lab / scMVP
  ☆34Updated 7 months ago
• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆36Updated 5 years ago
• zcang / SpaOTsc
  ☆45Updated 4 months ago
• KevinMenden / scaden
  Deep Learning based cell composition analysis with Scaden.
  ☆84Updated last year
• KlugerLab / ALRA
  Imputation method for scRNA-seq based on low-rank approximation
  ☆77Updated last year
• cistrome / MIRA
  Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.
  ☆66Updated 4 months ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆79Updated 5 years ago
• kimmo1019 / scDEC
  Simultaneous deep generative modeling and clustering of single cell genomic data
  ☆32Updated 3 years ago
• thomasmaxwellnorman / Perturbseq_GI
  Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"
  ☆65Updated 5 years ago
• jsxlei / SCALEX
  Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
  ☆79Updated 2 months ago
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆69Updated 2 years ago
• doraadong / UNIFAN
  Unsupervised cell functional annotation for single-cell RNA-Seq
  ☆22Updated 2 years ago
• PYangLab / Matilda
  Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…
  ☆22Updated 6 months ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆76Updated 11 months ago
• theislab / scTab
  ☆61Updated last year
• melobio / Concerto-reproducibility
  ☆40Updated 2 years ago