Alternatives and similar repositories for scGAC

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

• xuebaliang / scziDesk
  Deep soft K-means clustering with self-training for single cell RNA sequence data
  ☆24Updated 4 years ago
• DHUDBlab / scDSC
  ☆21Updated 3 years ago
• QUST-AIBBDRC / scGMAI
  scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder
  ☆16Updated 4 years ago
• Philyzh8 / scTAG
  "ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022
  ☆22Updated 2 years ago
• ciortanmadalina / graph-sc
  ☆18Updated 3 years ago
• ZixiangLuo1161 / scGAE
  single-cell graph autoencoder
  ☆22Updated 3 years ago
• ttgump / scDeepCluster_pytorch
  Pytorch implementation of scDeepCluster for Single Cell RNA-seq data
  ☆32Updated 11 months ago
• ttgump / scDCC
  scDCC: Single Cell Deep Constrained Clustering
  ☆40Updated 11 months ago
• ciortanmadalina / contrastive-sc
  ☆14Updated 4 years ago
• OSU-BMBL / deepmaps
  Single-cell biological network inference using a heterogeneous graph transformer
  ☆73Updated 4 months ago
• yhchen1123 / CoGO
  CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure
  ☆17Updated 8 months ago
• xiaoyeye / CCST
  Cell clustering for spatial transcriptomics data with graph neural network
  ☆62Updated 2 years ago
• ttgump / scDeepCluster
  scDeepCluster for Single Cell RNA-seq data
  ☆101Updated 11 months ago
• zpliulab / GENELink
  ☆33Updated 2 years ago
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆35Updated 8 months ago
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆145Updated 11 months ago
• kodaim1115 / scMM
  ☆17Updated 3 years ago
• jsxlei / scCLIP
  ☆29Updated last year
• melobio / Concerto-reproducibility
  ☆38Updated 2 years ago
• OmicsML / scMoFormer
  Single-Cell Multimodal Prediction via Transformer
  ☆28Updated last year
• ml4bio / CLEAR
  CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
  ☆33Updated 2 years ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆26Updated 2 years ago
• zhanglab-wbgcas / STGRNS
  ☆29Updated 2 years ago
• kakarotcq / Con-AAE
  ☆11Updated 2 years ago
• cs-wangbo / Spatial-MGCN
  ☆19Updated last year
• cmzuo11 / scMVAE
  Deep joint-leaning single-cell multi-omics model
  ☆16Updated 2 years ago
• QIFEIDKN / STAGATE
  Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
  ☆46Updated 2 years ago
• xianglin226 / scMDC
  Single Cell Multi-omics deep clustering
  ☆28Updated last year
• vandijklab / scGAT
  Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…
  ☆16Updated 5 years ago
• yhr91 / GEARS_misc
  ☆20Updated 8 months ago