Alternatives and similar repositories for PertEval

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

• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆89Updated last week
• EperLuo / scDiffusion
  A model developed for the generation of scRNA-seq data
  ☆73Updated 8 months ago
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆49Updated 3 months ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆115Updated last year
• ArcInstitute / cell-eval
  Comprehensive suite for evaluating perturbation prediction models
  ☆94Updated last week
• microsoft / zero-shot-scfoundation
  ☆73Updated last year
• TuftsBCB / RegDiffusion
  Diffusion model for gene regulatory network inference.
  ☆24Updated 3 months ago
• clinicalml / sc-foundation-eval
  Code for evaluating single cell foundation models scBERT and scGPT
  ☆46Updated last year
• ArcInstitute / cell-load
  pytorch dataloaders for single-cell perturbation data
  ☆32Updated this week
• OmicsML / scDiff
  scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models
  ☆31Updated last year
• theislab / prophet
  ☆35Updated last month
• const-ae / linear_perturbation_prediction-Paper
  ☆56Updated 3 months ago
• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆96Updated 7 months ago
• nitzanlab / biolord
  ☆85Updated last year
• OmicsML / CellPLM
  Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
  ☆98Updated last year
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆127Updated 8 months ago
• HelloWorldLTY / scELMo
  [Cell Patterns] Codes for paper: scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis
  ☆14Updated 2 weeks ago
• vandijklab / CINEMA-OT
  ☆34Updated 6 months ago
• siyuh / Squidiff
  ☆14Updated 7 months ago
• BoevaLab / CancerFoundation
  CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
  ☆25Updated last month
• bunnech / cellot
  Learning Single-Cell Perturbation Responses using Neural Optimal Transport
  ☆148Updated 11 months ago
• czi-ai / transcriptformer
  ☆87Updated 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
  ☆51Updated 2 months ago
• Genentech / sVAE
  ☆63Updated 2 years ago
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆63Updated last year
• altoslabs / perturbench
  ☆43Updated last week
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆151Updated 8 months ago
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆64Updated 6 months ago
• cantinilab / scPRINT
  🏃 The go-to single-cell Foundation Model
  ☆112Updated 2 weeks ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago