Professor Morten Nielsen's Immunoinformatics and Machine Learning Lab at DTU Bioinformatics
The core research of the group deals with the development of novel and advanced data-driven prediction methods for pattern recognition in biological systems
Copenhagen, Denmark
Pinned Repositories
AbEpiTope-1.0
AbEpiTope-1.0 is a computational tool that features two scores: AbEpiScore-1.0, designed for assessing the accuracy of modelled AbAg interfaces, and AbEpiTarget-1.0, optimised for selecting the antibody most likely to bind a given antigen.
abepitope_exampledata
Example data for AbEpiTope-1.0
itrap
Improved T-cell Receptor Antigen Pairing
ITRAP_benchmark
This repo contains the 10x Genomic datasets filtered using ATRAP and ICON denoising frameworks.
NetMHCphosPan-1.0
netTCR
predicting peptide and TCR interaction
NetTCR-2.0
NetTCR-2.0. Sequence-based prediction of peptide-TCR binding
NetTCR-2.1
This repo contains the code to train and test NetTCR-2.1 models
NetTCR-2.2
Sequence-based prediction of peptide-TCR interactions using paired chain data
train_NetTCR
Professor Morten Nielsen's Immunoinformatics and Machine Learning Lab at DTU Bioinformatics's Repositories
mnielLab/NetTCR-2.0
NetTCR-2.0. Sequence-based prediction of peptide-TCR binding
mnielLab/netTCR
predicting peptide and TCR interaction
mnielLab/NetTCR-2.2
Sequence-based prediction of peptide-TCR interactions using paired chain data
mnielLab/AbEpiTope-1.0
AbEpiTope-1.0 is a computational tool that features two scores: AbEpiScore-1.0, designed for assessing the accuracy of modelled AbAg interfaces, and AbEpiTarget-1.0, optimised for selecting the antibody most likely to bind a given antigen.
mnielLab/itrap
Improved T-cell Receptor Antigen Pairing
mnielLab/ITRAP_benchmark
This repo contains the 10x Genomic datasets filtered using ATRAP and ICON denoising frameworks.
mnielLab/NetMHCphosPan-1.0
mnielLab/NetTCR-2.1
This repo contains the code to train and test NetTCR-2.1 models
mnielLab/train_NetTCR
mnielLab/abepitope_exampledata
Example data for AbEpiTope-1.0
mnielLab/Master_MFJ
This repository contains the model architectures and code used for training the models in the Master thesis by Mathias Fynbo Jensen
mnielLab/NetTCR-IMMREP-2023
NetTCR entries for the IMMREP 2023 kaggle competition
mnielLab/22125_algobio_nn
Repository for the neural networks part of (22125) Algorithms in Bioinformatics
mnielLab/esm2_utilities
Installation guide with a little utilization code for protein language model ESM2