Alternatives and similar repositories for scgen-reproducibility

Users that are interested in scgen-reproducibility are comparing it to the libraries listed below

• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆36Updated 5 years ago
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆46Updated 2 years ago
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆59Updated last week
• ZJUFanLab / scDeepSort
  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
  ☆106Updated 2 years ago
• jsxlei / SCALE
  Single-cell ATAC-seq analysis via Latent feature Extraction
  ☆103Updated 2 years ago
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆172Updated 3 years ago
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆66Updated last year
• jsxlei / SCALEX
  Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
  ☆80Updated this week
• const-ae / linear_perturbation_prediction-Paper
  ☆69Updated 6 months ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆79Updated 5 years ago
• imsb-uke / scGAN
  Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks
  ☆88Updated last year
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 4 years ago
• HantaoShu / DeepSEM
  ☆90Updated 2 years ago
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆59Updated last year
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆131Updated last year
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 3 years ago
• nitzanlab / biolord
  ☆89Updated last year
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆71Updated 3 years ago
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆40Updated 3 years ago
• LewisLabUCSD / Ligand-Receptor-Pairs
  Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.
  ☆147Updated 3 years ago
• OSU-BMBL / deepmaps
  Single-cell biological network inference using a heterogeneous graph transformer
  ☆76Updated 10 months ago
• gao-lab / Cell_BLAST
  A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.
  ☆94Updated last year
• sidhomj / DeepTCR
  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
  ☆123Updated 4 months ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆77Updated last year
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 3 years ago
• TencentAILabHealthcare / scTranslator
  ☆79Updated 4 months ago
• Durenlab / LINGER
  ☆122Updated 7 months ago
• KevinMenden / scaden
  Deep Learning based cell composition analysis with Scaden.
  ☆87Updated last year
• lanagarmire / Asgard
  ☆45Updated 2 years ago
• SONGDONGYUAN1994 / scDesign3
  scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics
  ☆112Updated 3 months ago