Alternatives and similar repositories for BERTMHC

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

• pcpLiu / DeepSeqPan
  A sequence-based pan model for peptide-MHC I binding affinity prediction.
  ☆26Updated 6 years ago
• johli / scrambler
  Interpretation by Deep Generative Masking for Biological Sequences
  ☆37Updated 3 years ago
• gopuvenkat / MHCAttnNet
  MHCAttnNet: Allele-Peptide predictions for class I & class II MHC alleles
  ☆30Updated 4 years ago
• pcpLiu / DeepSeqPanII
  A sequence-based pan model for peptide-MHC II binding affinity prediction.
  ☆21Updated 3 years ago
• frankligy / DeepImmuno
  Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity
  ☆74Updated 2 years ago
• pth1993 / DeepCE
  A deep learning framework for high-throughput mechanism-driven phenotype screening
  ☆50Updated 4 years ago
• bio-ontology-research-group / deepgo
  Function prediction using a deep ontology-aware classifier
  ☆84Updated 2 years ago
• dohlee / chromoformer
  The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)
  ☆36Updated 2 years ago
• HarveyYan / RNAonGraph
  A repository for neural representational learning of RNA secondary structures
  ☆32Updated 5 years ago
• denisbeslic / denovopipeline
  Pipeline for de novo peptide sequencing (Novor, DeepNovo, SMSNet, PointNovo, Casanovo) and assembly with ALPS.
  ☆42Updated last year
• OATML / EVE
  Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…
  ☆65Updated 3 years ago
• dmis-lab / tbinet
  TBiNet: A deep neural network for predicting transcription factor binding sites using attention mechanism
  ☆25Updated 4 years ago
• IdoSpringer / ERGO
  ERGO is a deep learing based model for predicting TCR-peptide binding.
  ☆18Updated 3 years ago
• hosseinshn / MOLI
  MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
  ☆55Updated 5 years ago
• schumacherlab / STAPLER
  STAPLER (Shared TCR And Peptide Language bidirectional Encoder Representations from transformers) is a language model that uses a joint T…
  ☆28Updated 5 months ago
• FunctionLab / tapioca
  a framework for predicting global protein-protein interaction networks from dynamic mass spec data
  ☆24Updated last year
• PaccMann / paccmann_predictor
  PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…
  ☆54Updated 2 months ago
• johli / seqprop
  Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor
  ☆50Updated last year
• eternagame / DegScore
  Arnie-based DegScore tool.
  ☆27Updated 3 years ago
• ShenLab / gMVP
  ☆21Updated 2 years ago
• ntranoslab / esm-variants
  ☆80Updated 2 years ago
• JaesikKim / HiG2Vec
  ☆23Updated 2 years ago
• phbradley / TCRdock
  python tools for TCR:peptide-MHC modeling and analysis
  ☆82Updated last year
• MachineLearningLifeScience / meaningful-protein-representations
  ☆110Updated 3 years ago
• wukevin / tcr-bert
  Large language modeling applied to T-cell receptor (TCR) sequences.
  ☆57Updated 3 years ago
• cmb-chula / MHCSeqNet
  A Python tool for prediction MHC ligand
  ☆34Updated 6 years ago
• mims-harvard / ProCyon
  ProCyon: A multimodal foundation model for protein phenotypes
  ☆45Updated last month
• Rostlab / goPredSim
  ☆48Updated 10 months ago
• Genentech / iterative-perturb-seq
  Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors
  ☆41Updated last year
• a96123155 / UTR-LM
  ☆91Updated last year