Alternatives and similar repositories for scDeepSort_performance_comparison

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

• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆26Updated 2 years ago
• bm2-lab / scMVP
  ☆31Updated 2 months ago
• huBioinfo / CytoTalk
  A novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better charac…
  ☆19Updated 3 years ago
• ChengF-Lab / autoCell
  ☆16Updated 3 years ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 4 years ago
• kimmo1019 / scDEC
  Simultaneous deep generative modeling and clustering of single cell genomic data
  ☆32Updated 2 years ago
• bm2-lab / scLearn
  scLearn：Learning for single cell assignment
  ☆35Updated 6 months ago
• SindiLab / ACTIVA
  The main repository for ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective vari…
  ☆11Updated 2 years ago
• zcang / SpaOTsc
  ☆45Updated 2 years ago
• tanlabcode / CytoTalk
  A novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better charac…
  ☆42Updated 9 months ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 2 years ago
• PeterZZQ / scMoMaT
  ☆21Updated last year
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆50Updated 3 years ago
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆40Updated 2 years ago
• doraadong / UNIFAN
  Unsupervised cell functional annotation for single-cell RNA-Seq
  ☆22Updated 2 years ago
• CostaLab / scMEGA
  scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference
  ☆39Updated 9 months ago
• YangLabHKUST / Portal
  Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets
  ☆30Updated last year
• QuKunLab / MultiomeBenchmarking
  ☆47Updated 3 months ago
• qiaochen / VeloAE
  Low-dimensional Projection of Single Cell Velocity
  ☆27Updated 2 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• PeterZZQ / CeSpGRN
  CeSpGRN: Inferring cell specific GRN using single-cell gene expression data
  ☆21Updated last year
• theislab / scArches-reproducibility
  Reproducing result from the paper
  ☆34Updated 4 years ago
• yuanzhiyuan / SODB_analysis
  ☆12Updated 2 years ago
• nicococo / scRNA
  Python framework for single-cell RNA-seq clustering with special focus on transfer learning.
  ☆18Updated 5 years ago
• tabdelaal / SpaGE
  Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data
  ☆36Updated 11 months ago
• caleblareau / asap_reproducibility
  Reproducing all analyses and figures for the ASAP-seq paper
  ☆29Updated 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.
  ☆30Updated 5 years ago
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆42Updated last year
• saezlab / FootprintMethods_on_scRNAseq
  Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data
  ☆26Updated 5 years ago
• PeterZZQ / scDART
  ☆12Updated last year