Alternatives and similar repositories for TCRAI

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

• antigenomics / tcren-ms
  📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential
  ☆20Updated last month
• IdoSpringer / ERGO-II
  ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction
  ☆33Updated 3 years ago
• wukevin / tcr-bert
  Large language modeling applied to T-cell receptor (TCR) sequences.
  ☆56Updated 3 years ago
• pmoris / ImRex
  Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes
  ☆16Updated 2 years ago
• kekegg / DLEPS
  A Deep Learning based Efficacy Prediction System for drug discovery
  ☆71Updated 2 years ago
• tianshilu / pMTnet
  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
  ☆84Updated 3 years ago
• emmijokinen / TCRGP
  TCRGP, a novel Gaussian process method that can predict if TCRs recognize certain epitopes. This method can utilize different CDR sequenc…
  ☆30Updated 2 years ago
• mnielLab / NetTCR-2.0
  NetTCR-2.0. Sequence-based prediction of peptide-TCR binding
  ☆35Updated 3 years ago
• frankligy / DeepImmuno
  Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity
  ☆72Updated 2 years ago
• Genentech / Absolve
  Absolve antibody variable domain sequence analysis
  ☆18Updated 7 years ago
• kmayerb / tcrdist3
  flexible CDR based distance metrics
  ☆66Updated last year
• GfellerLab / MixMHC2pred
  HLA-II ligand predictor.
  ☆44Updated 2 years ago
• svalkiers / clusTCR
  CDR3 clustering module providing a new method for fast and accurate clustering of large data sets of CDR3 amino acid sequences, and offer…
  ☆54Updated last year
• sidhomj / DeepTCR
  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
  ☆120Updated this week
• chenhcs / FRoGS
  Functional Embedding of Gene Signatures
  ☆46Updated last year
• PaccMann / TITAN
  Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2…
  ☆29Updated 2 months ago
• schumacherlab / STAPLER
  STAPLER (Shared TCR And Peptide Language bidirectional Encoder Representations from transformers) is a language model that uses a joint T…
  ☆28Updated 4 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
  ☆46Updated 2 months ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• GreiffLab / immuneSIM
  ☆38Updated last year
• emmijokinen / TCRconv
  TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…
  ☆25Updated 2 years ago
• louzounlab / ERGO
  ERGO is a deep learing based model for predicting TCR-peptide binding.
  ☆18Updated 5 years ago
• KarchinLab / bigmhc
  BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity
  ☆56Updated last year
• GfellerLab / MoDec
  Tool for Motif Deconvolution in large HLA-II ligand datasets without the need of prior alignment.
  ☆13Updated 6 months ago
• theislab / scgen-reproducibility
  ☆28Updated 4 years ago
• TencentAILabHealthcare / DeepAIR
  ☆37Updated 2 years ago
• Lee-CBG / ATM-TCR
  ☆10Updated last year
• Perturbation-Response-Prediction / PRnet
  PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…
  ☆58Updated 9 months ago
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆60Updated 5 months ago
• mims-harvard / COMPASS
  Generalizable AI predicts immunotherapy outcomes across cancers and treatments
  ☆39Updated 2 weeks ago