Alternatives and similar repositories for perturbench

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

• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆66Updated last year
• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆36Updated 5 years ago
• const-ae / linear_perturbation_prediction-Paper
  ☆69Updated 6 months ago
• theislab / prophet
  ☆38Updated last month
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆52Updated 4 years ago
• czi-ai / transcriptformer
  ☆100Updated 2 months ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆52Updated 5 months ago
• HantaoShu / DeepSEM
  ☆90Updated 2 years ago
• nitzanlab / biolord
  ☆90Updated last year
• theislab / scTab
  ☆62Updated last year
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆172Updated 3 years ago
• melobio / Concerto-reproducibility
  ☆40Updated 3 years ago
• jiang-q19 / scPRAM
  scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism
  ☆18Updated last year
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆61Updated 3 weeks ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆134Updated last year
• bowang-lab / BIONIC
  Biological Network Integration using Convolutions
  ☆63Updated 2 years ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 3 years ago
• Bertinus / FLeCS
  Functional and Learnable Cell dynamicS
  ☆21Updated 8 months ago
• cantinilab / scPRINT
  🏃 The go-to single-cell Foundation Model
  ☆135Updated last month
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆73Updated 2 years ago
• mlbio-epfl / systema
  ☆52Updated 3 weeks ago
• ArcInstitute / cell-eval
  Comprehensive suite for evaluating perturbation prediction models
  ☆120Updated 2 weeks ago
• vandijklab / CINEMA-OT
  ☆35Updated 9 months ago
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 3 years ago
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆71Updated 3 years ago
• shmohammadi86 / ACTIONet
  ACTIONet single-cell analysis framework
  ☆44Updated last year
• suinleelab / contrastiveVI
  ☆60Updated last year
• SONGDONGYUAN1994 / scDesign3
  scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics
  ☆113Updated 4 months ago
• sanderlab / CellBox
  CellBox: Interpretable Machine Learning for Perturbation Biology
  ☆56Updated 2 years ago