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
  ☆28Updated 5 years ago
• Philyzh8 / scTAG
  "ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022
  ☆25Updated 2 years ago
• DHUDBlab / scDSC
  ☆24Updated 4 years ago
• QUST-AIBBDRC / scGMAI
  scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder
  ☆15Updated 4 years ago
• ZixiangLuo1161 / scGAE
  single-cell graph autoencoder
  ☆25Updated 4 years ago
• ttgump / scDCC
  scDCC: Single Cell Deep Constrained Clustering
  ☆43Updated last year
• ciortanmadalina / graph-sc
  ☆19Updated 4 years ago
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆154Updated last year
• ttgump / scDeepCluster
  scDeepCluster for Single Cell RNA-seq data
  ☆105Updated last year
• ttgump / scDeepCluster_pytorch
  Pytorch implementation of scDeepCluster for Single Cell RNA-seq data
  ☆34Updated last year
• ciortanmadalina / contrastive-sc
  ☆15Updated 4 years ago
• QSong-github / SiGra
  Single-cell spatial elucidation through image-augmented graph transformer
  ☆34Updated 2 years ago
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆35Updated last year
• xiaoyeye / CCST
  Cell clustering for spatial transcriptomics data with graph neural network
  ☆64Updated 2 years ago
• OSU-BMBL / deepmaps
  Single-cell biological network inference using a heterogeneous graph transformer
  ☆76Updated 11 months ago
• OmicsML / scMoFormer
  Single-Cell Multimodal Prediction via Transformer
  ☆28Updated last year
• jsxlei / scCLIP
  ☆33Updated last year
• yhchen1123 / CoGO
  CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure
  ☆16Updated last year
• zpliulab / GENELink
  ☆35Updated 3 years ago
• cmzuo11 / scMVAE
  Deep joint-leaning single-cell multi-omics model
  ☆15Updated 3 years ago
• ml4bio / CLEAR
  CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
  ☆35Updated 3 years ago
• kakarotcq / Con-AAE
  ☆12Updated 2 years ago
• cs-wangbo / Spatial-MGCN
  ☆24Updated 2 years ago
• LiuLab-Bioelectronics-Harvard / UnitedNet
  ☆51Updated last year
• JiangBioLab / DeepST
  Identify spatial domain
  ☆88Updated 8 months ago
• xianglin226 / scMDC
  Single Cell Multi-omics deep clustering
  ☆28Updated 6 months ago
• ys-zong / conST
  conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics
  ☆29Updated last year
• zhaofangyuan98 / SDMBench
  ☆43Updated last year
• mcgilldinglab / scCross
  A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simul…
  ☆16Updated 5 months ago
• sldyns / scAce
  scAce: an adaptive embedding and clustering method for scRNA-seq data
  ☆12Updated 2 years ago