Alternatives and similar repositories for scRNA

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

• trungnt13 / sisua
  SemI-SUpervised generative Autoencoder models for single cell data
  ☆18Updated 4 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
• txWang / BERMUDA
  BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.
  ☆31Updated 6 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
• jianhuupenn / ItClust
  Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
  ☆54Updated 6 months ago
• eleozzr / desc
  Deep Embedding for Single-cell Clustering
  ☆89Updated last year
• xuebaliang / scAnCluster
  Single-cell RNA-seq clustering and annotation
  ☆13Updated 5 years ago
• tarot0410 / BREMSC
  Novel joint clustering method with scRNA-seq and CITE-seq data
  ☆10Updated 4 years ago
• ChengF-Lab / autoCell
  ☆16Updated 3 years ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆25Updated 2 years ago
• bm2-lab / scMVP
  ☆34Updated 8 months ago
• yycunc / SAFEclustering
  SAFE (Single-cell Aggregated clustering From Ensemble): Cluster ensemble for single-cell RNA-seq data
  ☆18Updated 4 years ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 3 years ago
• bowang87 / SIMLR_PY
  Python Implementation of SIMLR for single-cell visualization and analysis
  ☆24Updated 3 years ago
• ciortanmadalina / contrastive-sc
  ☆15Updated 4 years ago
• WangShuxiong / SoptSC
  SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network …
  ☆22Updated 5 years ago
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆61Updated last year
• KrishnaswamyLab / SAUCIE
  ☆102Updated last year
• kundajelab / alzheimers_parkinsons
  Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis
  ☆46Updated 5 years ago
• jlakkis / CarDEC
  ☆19Updated 4 years ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆79Updated 5 years ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 5 years ago
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆89Updated 3 years ago
• suinleelab / contrastiveVI
  ☆60Updated last year
• raphael-group / netNMF-sc
  netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data
  ☆23Updated 4 years ago
• huBioinfo / CytoTalk
  A computational method for inferring cell-cell communication signaling networks using single-cell transcriptomics data.
  ☆20Updated last week
• TaylorResearchLab / scedar
  Single-cell exploratory data analysis for RNA-Seq
  ☆40Updated 4 years ago
• kimmo1019 / scDEC
  Simultaneous deep generative modeling and clustering of single cell genomic data
  ☆32Updated 3 years ago
• theislab / scArches-reproducibility
  Reproducing result from the paper
  ☆34Updated 4 years ago
• bm2-lab / scLearn
  scLearn：Learning for single cell assignment
  ☆35Updated last year