Alternatives and similar repositories for CNNC

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

• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 2 years ago
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆44Updated 2 years ago
• ZJUFanLab / scDeepSort
  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
  ☆106Updated 2 years ago
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆89Updated 3 years ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆63Updated last year
• klarman-cell-observatory / scPhere
  ☆101Updated 2 years ago
• gao-lab / Cell_BLAST
  A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.
  ☆94Updated last year
• smaslova / AI-TAC
  ☆27Updated 2 years ago
• jsxlei / SCALE
  Single-cell ATAC-seq analysis via Latent feature Extraction
  ☆103Updated 2 years ago
• eleozzr / desc
  Deep Embedding for Single-cell Clustering
  ☆88Updated last year
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆41Updated 3 years ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 3 years ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 5 years ago
• AltschulerWu-Lab / scScope
  ☆48Updated 6 years ago
• thomasmaxwellnorman / Perturbseq_GI
  Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"
  ☆65Updated 5 years ago
• HantaoShu / DeepSEM
  ☆85Updated 2 years ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 4 years ago
• theislab / scgen-reproducibility
  ☆30Updated 5 years ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆76Updated 10 months ago
• KevinMenden / scaden
  Deep Learning based cell composition analysis with Scaden.
  ☆83Updated last year
• jianhuupenn / ItClust
  Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
  ☆55Updated 5 months ago
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆62Updated last year
• shmohammadi86 / ACTIONet
  ACTIONet single-cell analysis framework
  ☆43Updated last year
• jsxlei / SCALEX
  Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
  ☆79Updated 2 months ago
• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆36Updated 5 years ago
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆167Updated 3 years ago
• romain-lopez / scVI-reproducibility
  Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"
  ☆57Updated 6 years ago
• TranslationalBioinformaticsUnit / singlecelldb
  An actionable database of publicly available single-cell RNA-seq data
  ☆41Updated 6 years ago
• Vivianstats / scImpute
  Accurate and robust imputation of scRNA-seq data
  ☆97Updated 6 years ago