Name: Professor Morten Nielsen's Immunoinformatics and Machine Learning Lab at DTU Bioinformatics
Type: Organization
Bio: The core research of the group deals with the development of novel and advanced data-driven prediction methods for pattern recognition in biological systems
Location: Copenhagen, Denmark
Blog: https://www.healthtech.dtu.dk/forskning/digital-health-and-biological-modelling/section-bioinformatics/group-immunoinformatics-and-machine-learning
Professor Morten Nielsen's Immunoinformatics and Machine Learning Lab at DTU Bioinformatics's Projects
Repository for the neural networks part of (22125) Algorithms in Bioinformatics
Improved T-cell Receptor Antigen Pairing
This repo contains the 10x Genomic datasets filtered using ATRAP and ICON denoising frameworks.
This repository contains the model architectures and code used for training the models in the Master thesis by Mathias Fynbo Jensen
predicting peptide and TCR interaction
NetTCR-2.0. Sequence-based prediction of peptide-TCR binding
This repo contains the code to train and test NetTCR-2.1 models
Sequence-based prediction of peptide-TCR interactions using paired chain data
NetTCR entries for the IMMREP 2023 kaggle competition