Alternatives and similar repositories for scAnCluster

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

• nicococo / scRNA
  Python framework for single-cell RNA-seq clustering with special focus on transfer learning.
  ☆18Updated 5 years ago
• jwang-lab / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆11Updated 5 years ago
• trungnt13 / sisua
  SemI-SUpervised generative Autoencoder models for single cell data
  ☆19Updated 4 years ago
• raphael-group / netNMF-sc
  netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data
  ☆23Updated 4 years ago
• seasamgo / rescue
  Bootstrap imputation for scRNAseq data
  ☆12Updated 5 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
• tarot0410 / BREMSC
  Novel joint clustering method with scRNA-seq and CITE-seq data
  ☆10Updated 4 years ago
• chenlingantelope / HarmonizationSCANVI
  Reproducibility for the "Harmonization and Annotation of Single-cell Transcriptomics data with Deep Generative Models" paper
  ☆13Updated 3 years ago
• lab-conrad / resVAE
  resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…
  ☆12Updated 2 years ago
• txWang / BERMUDA
  BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.
  ☆31Updated 5 years ago
• mukamel-lab / SingleCellFusion
  SingleCellFusion--a tool to integrate single-cell transcriptome and epigenome data
  ☆12Updated 3 years ago
• simslab / cluster_diffex2018
  scRNA-seq clustering, visualization, and differential expression pipeline from Sims Lab papers
  ☆21Updated 3 years ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 5 years ago
• QuKunLab / WEDGE
  Imputation of single cell sequencing data
  ☆9Updated 4 years ago
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆63Updated last year
• KenLauLab / DR-structure-preservation
  A quantitative framework for evaluating data structure preservation by dimensionality reduction techniques
  ☆16Updated 4 years ago
• ChengF-Lab / autoCell
  ☆16Updated 3 years ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆26Updated 2 years ago
• jlakkis / CarDEC
  ☆19Updated 4 years ago
• yycunc / SAFEclustering
  SAFE (Single-cell Aggregated clustering From Ensemble): Cluster ensemble for single-cell RNA-seq data
  ☆18Updated 4 years ago
• mhu10 / scPanoView
  ☆11Updated 5 years ago
• doraadong / UNIFAN
  Unsupervised cell functional annotation for single-cell RNA-Seq
  ☆22Updated 2 years ago
• mkrzak / Benchmarking_Clustering_Methods_scRNAseq
  ☆9Updated 5 years ago
• theislab / scArches-reproducibility
  Reproducing result from the paper
  ☆34Updated 4 years ago
• zcang / SpaOTsc
  ☆45Updated 2 weeks ago
• kimmo1019 / scDEC
  Simultaneous deep generative modeling and clustering of single cell genomic data
  ☆32Updated 2 years ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆75Updated 7 months ago
• bm2-lab / scMVP
  ☆32Updated 3 months ago
• yycunc / SAMEclustering
  SAME (Single-cell RNA-seq Aggregated clustering via Mixture model Ensemble): Cluster ensemble for single-cell RNA-seq data
  ☆15Updated 4 years ago
• dylkot / scsim
  Simulate single-cell RNA-SEQ data using the Splatter statistical framework but implemented in python. In addition, simulate doublet cells…
  ☆27Updated 3 years ago