Alternatives and similar repositories for PRnet

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

• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆58Updated 5 months ago
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆135Updated 10 months ago
• yhr91 / GEARS_misc
  ☆25Updated last year
• Boom5426 / Awesome-Virtual-Cell
  Awesome-AI-Virtual-Cell
  ☆144Updated 2 weeks ago
• jkobject / geneformer
  ☆88Updated 4 months ago
• wukevin / tcr-bert
  Large language modeling applied to T-cell receptor (TCR) sequences.
  ☆57Updated 3 years ago
• KangBoming / BulkFormer
  BulkFormer: A large-scale foundation model for human bulk transcriptomes
  ☆35Updated 2 weeks ago
• mims-harvard / PINNACLE
  Contextual AI models for single-cell protein biology
  ☆96Updated 10 months ago
• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆139Updated last month
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆104Updated last week
• idekerlab / DrugCell
  A visible neural network model for drug response prediction
  ☆150Updated 2 years ago
• xCompass-AI / GeneCompass
  GeneCompass
  ☆103Updated 3 weeks ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆124Updated last year
• aaronwtr / PertEval
  Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.
  ☆33Updated 5 months ago
• myzhengSIMM / TranSiGen
  ☆34Updated 11 months ago
• tianshilu / pMTnet
  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
  ☆87Updated 3 years ago
• kekegg / DLEPS
  A Deep Learning based Efficacy Prediction System for drug discovery
  ☆73Updated 3 years ago
• const-ae / linear_perturbation_prediction-Paper
  ☆67Updated 5 months ago
• jychen01 / PISTE
  ☆27Updated last year
• EperLuo / scDiffusion
  A model developed for the generation of scRNA-seq data
  ☆81Updated 10 months ago
• xianglin226 / Benchmarking-Single-Cell-Perturbation
  Single-Cell (Perturbation) Model Library
  ☆86Updated 2 weeks ago
• OmicsML / CellPLM
  Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
  ☆100Updated last year
• bm2-lab / STAMP
  ☆15Updated 7 months ago
• microsoft / zero-shot-scfoundation
  ☆76Updated last year
• bm2-lab / scPerturBench
  Single-cell perturbation effects prediction benchmark
  ☆42Updated 5 months ago
• ArcInstitute / state
  State is a machine learning model that predicts cellular perturbation response across diverse contexts
  ☆479Updated this week
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆158Updated 10 months ago
• ArcInstitute / cell-eval
  Comprehensive suite for evaluating perturbation prediction models
  ☆113Updated last week
• TencentAILabHealthcare / scPROTEIN
  ☆56Updated last year
• antigenomics / tcren-ms
  📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential
  ☆24Updated 3 months ago