Alternatives and similar repositories for contrastive-sc:

Users that are interested in contrastive-sc are comparing it to the libraries listed below

• ttgump / scDCC
  scDCC: Single Cell Deep Constrained Clustering
  ☆40Updated 9 months ago
• QUST-AIBBDRC / scGMAI
  scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder
  ☆16Updated 3 years ago
• ciortanmadalina / graph-sc
  ☆18Updated 3 years ago
• ZJUFanLab / scDeepSort_performance_comparison
  The source code and results for different methods on annotating external testing datsets of human and mouse.
  ☆12Updated 4 years ago
• xiaoyeye / CCST
  Cell clustering for spatial transcriptomics data with graph neural network
  ☆61Updated 2 years ago
• xuebaliang / scziDesk
  Deep soft K-means clustering with self-training for single cell RNA sequence data
  ☆25Updated 4 years ago
• ml4bio / CLEAR
  CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
  ☆33Updated 2 years ago
• kimmo1019 / scDEC
  Simultaneous deep generative modeling and clustering of single cell genomic data
  ☆32Updated 2 years ago
• jianhuupenn / ItClust
  Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
  ☆54Updated 3 years ago
• YangLabHKUST / Portal
  Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets
  ☆30Updated last year
• ChengF-Lab / autoCell
  ☆15Updated 2 years ago
• ttgump / scDeepCluster_pytorch
  Pytorch implementation of scDeepCluster for Single Cell RNA-seq data
  ☆32Updated 9 months ago
• PeterZZQ / scMoMaT
  ☆21Updated 10 months ago
• PeterZZQ / CeSpGRN
  CeSpGRN: Inferring cell specific GRN using single-cell gene expression data
  ☆21Updated last year
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆38Updated 2 years ago
• cmzuo11 / scMVAE
  Deep joint-leaning single-cell multi-omics model
  ☆16Updated 2 years ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆24Updated last year
• sldyns / scAce
  scAce: an adaptive embedding and clustering method for scRNA-seq data
  ☆11Updated last year
• tabdelaal / SpaGE
  Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data
  ☆34Updated 9 months ago
• ttgump / scDeepCluster
  scDeepCluster for Single Cell RNA-seq data
  ☆101Updated 9 months ago
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆41Updated last year
• QIFEIDKN / STAGATE
  Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
  ☆45Updated last year
• Philyzh8 / scMGCA
  "Topological Identification and Interpretation for Single-cell Gene Regulation Elucidation across Multiple Platforms using scMGCA" in Nat…
  ☆14Updated 2 years ago
• bm2-lab / scMVP
  ☆29Updated last week
• QuKunLab / WEDGE
  Imputation of single cell sequencing data
  ☆9Updated 4 years ago
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆35Updated 6 months ago
• zhanglab-wbgcas / STGRNS
  ☆29Updated 2 years ago
• QuKunLab / MultiomeBenchmarking
  ☆43Updated last month
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆49Updated 3 years ago
• XLearning-SCU / scBridge
  ☆21Updated 8 months ago