Alternatives and similar repositories for pMTnet:

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

• sidhomj / DeepTCR
  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
  ☆118Updated 2 years ago
• IdoSpringer / ERGO-II
  ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction
  ☆31Updated 2 years ago
• GfellerLab / MixMHC2pred
  HLA-II ligand predictor.
  ☆42Updated last year
• mnielLab / NetTCR-2.0
  NetTCR-2.0. Sequence-based prediction of peptide-TCR binding
  ☆33Updated 2 years ago
• kmayerb / tcrdist3
  flexible CDR based distance metrics
  ☆58Updated 7 months ago
• KarchinLab / bigmhc
  BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity
  ☆50Updated 11 months ago
• wukevin / tcr-bert
  Large language modeling applied to T-cell receptor (TCR) sequences.
  ☆51Updated 2 years ago
• phbradley / TCRdock
  python tools for TCR:peptide-MHC modeling and analysis
  ☆72Updated 11 months ago
• GET-Foundation / get_model
  A modular framework for multimodal cross-cell-type transcriptional regulation models
  ☆64Updated 3 weeks ago
• antigenomics / tcren-ms
  📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential
  ☆18Updated 2 months ago
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆56Updated 2 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
  ☆30Updated last month
• xiongxslab / Translatomer
  ☆18Updated last month
• Perturbation-Response-Prediction / PRnet
  PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…
  ☆38Updated 3 months ago
• regeneron-mpds / TCRAI
  ☆16Updated 3 years ago
• s175573 / DeepCAT
  Deep Learning Method to Identify Cancer Associated TCRs
  ☆46Updated 2 years ago
• theislab / scgen-reproducibility
  ☆24Updated 4 years ago
• lanagarmire / Asgard
  ☆41Updated last year
• viragbioinfo / IMMREP_2022_TCRSpecificity
  ☆19Updated 2 years ago
• tanjimin / C.Origami
  C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.
  ☆72Updated 8 months ago
• uio-bmi / immuneML
  immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
  ☆67Updated this week
• phbradley / tcr-dist
  Software tools for the analysis of epitope-specific T cell receptor (TCR) repertoires (scroll down for the README)
  ☆81Updated 3 years ago
• PaccMann / TITAN
  Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2…
  ☆29Updated last year
• xinyu-dev / igblast
  Detailed explanation on how to setup database for NCBI IgBlast executable, and using it in Python
  ☆28Updated 2 years ago
• immunoengineer / gliph
  Grouping of Lymphocyte Interactions by Paratope Hotspots
  ☆91Updated 4 years ago
• ntranoslab / esm-variants
  ☆71Updated 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…
  ☆24Updated 2 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…
  ☆29Updated 2 years ago
• louzounlab / ERGO
  ERGO is a deep learing based model for predicting TCR-peptide binding.
  ☆18Updated 4 years ago
• ShenLab-Genomics / SpliceTransformer
  SpliceTransformer(SpTransformer) is a deep learning tool to predict tissue specific splicing site from pre-mRNA sequence
  ☆19Updated 4 months ago