Alternatives and similar repositories for cell-eval

Users that are interested in cell-eval are comparing it to the libraries listed below

• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆111Updated last year
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆148Updated 7 months ago
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆164Updated 3 years ago
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆87Updated last week
• const-ae / linear_perturbation_prediction-Paper
  ☆54Updated 2 months ago
• EperLuo / scDiffusion
  A model developed for the generation of scRNA-seq data
  ☆72Updated 7 months ago
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆124Updated 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
  ☆48Updated 2 months ago
• xianglin226 / Benchmarking-Single-Cell-Perturbation
  Single-Cell (Perturbation) Model Library
  ☆73Updated last month
• aaronwtr / PertEval
  Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.
  ☆26Updated 2 months ago
• bunnech / cellot
  Learning Single-Cell Perturbation Responses using Neural Optimal Transport
  ☆146Updated 11 months ago
• jkobject / geneformer
  ☆79Updated last month
• snap-stanford / SATURN
  ☆139Updated last year
• clinicalml / sc-foundation-eval
  Code for evaluating single cell foundation models scBERT and scGPT
  ☆46Updated last year
• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆96Updated 6 months ago
• OmicsML / CellPLM
  Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
  ☆97Updated last year
• cantinilab / scPRINT
  🏃 The go-to single-cell Foundation Model
  ☆108Updated this week
• nitzanlab / biolord
  ☆84Updated last year
• microsoft / zero-shot-scfoundation
  ☆72Updated last year
• HantaoShu / DeepSEM
  ☆85Updated 2 years ago
• bm2-lab / scPerturBench
  Single-cell perturbation effects prediction benchmark
  ☆22Updated 2 months ago
• snap-stanford / UCE
  UCE is a zero-shot foundation model for single-cell gene expression data
  ☆219Updated 7 months ago
• TuftsBCB / RegDiffusion
  Diffusion model for gene regulatory network inference.
  ☆24Updated 2 months ago
• yhr91 / GEARS_misc
  ☆22Updated 11 months ago
• Genentech / sVAE
  ☆63Updated 2 years ago
• snap-stanford / GEARS
  GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
  ☆293Updated 8 months ago
• JackieHanLab / TOSICA
  Transformer for One-Stop Interpretable Cell-type Annotation
  ☆145Updated last year
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆61Updated 6 months ago
• ArcInstitute / cell-load
  pytorch dataloaders for single-cell perturbation data
  ☆30Updated last week
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆51Updated last month