Alternatives and similar repositories for PRnet

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

• wukevin / tcr-bert
  Large language modeling applied to T-cell receptor (TCR) sequences.
  ☆57Updated 3 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
  ☆49Updated 3 months ago
• jkobject / geneformer
  ☆81Updated 2 months ago
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆127Updated 8 months ago
• Boom5426 / Awesome-Virtual-Cell
  Awesome-AI-Virtual-Cell
  ☆119Updated this week
• tianshilu / pMTnet
  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
  ☆86Updated 3 years ago
• idekerlab / DrugCell
  A visible neural network model for drug response prediction
  ☆148Updated 2 years ago
• antigenomics / tcren-ms
  📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential
  ☆23Updated last month
• mims-harvard / PINNACLE
  Contextual AI models for single-cell protein biology
  ☆89Updated 8 months ago
• xianglin226 / Benchmarking-Single-Cell-Perturbation
  Single-Cell (Perturbation) Model Library
  ☆77Updated last month
• kekegg / DLEPS
  A Deep Learning based Efficacy Prediction System for drug discovery
  ☆72Updated 2 years ago
• yhr91 / GEARS_misc
  ☆22Updated last year
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆91Updated last week
• jychen01 / PISTE
  ☆24Updated last year
• myzhengSIMM / TranSiGen
  ☆33Updated 9 months ago
• bm2-lab / PanPep
  ☆51Updated last year
• IdoSpringer / ERGO-II
  ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction
  ☆34Updated 3 years ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆116Updated last year
• EperLuo / scDiffusion
  A model developed for the generation of scRNA-seq data
  ☆77Updated 8 months ago
• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆96Updated 7 months ago
• aaronwtr / PertEval
  Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.
  ☆27Updated 3 months ago
• xCompass-AI / GeneCompass
  GeneCompass
  ☆92Updated 2 weeks ago
• bm2-lab / STAMP
  ☆11Updated 5 months ago
• phbradley / TCRdock
  python tools for TCR:peptide-MHC modeling and analysis
  ☆82Updated last year
• siyuh / Squidiff
  ☆14Updated 7 months ago
• TencentAILabHealthcare / scPROTEIN
  ☆54Updated 10 months ago
• microsoft / zero-shot-scfoundation
  ☆73Updated last year
• sidhomj / DeepTCR
  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
  ☆120Updated last month
• ArcInstitute / state
  State is a machine learning model that predicts cellular perturbation response across diverse contexts
  ☆432Updated last week
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆151Updated 8 months ago