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Professor Morten Nielsen's Immunoinformatics and Machine Learning Lab at DTU Bioinformatics photo

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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

22125_algobio_nn icon 22125_algobio_nn

Repository for the neural networks part of (22125) Algorithms in Bioinformatics

itrap icon itrap

Improved T-cell Receptor Antigen Pairing

itrap_benchmark icon itrap_benchmark

This repo contains the 10x Genomic datasets filtered using ATRAP and ICON denoising frameworks.

master_mfj icon master_mfj

This repository contains the model architectures and code used for training the models in the Master thesis by Mathias Fynbo Jensen

nettcr icon nettcr

predicting peptide and TCR interaction

nettcr-2.0 icon nettcr-2.0

NetTCR-2.0. Sequence-based prediction of peptide-TCR binding

nettcr-2.1 icon nettcr-2.1

This repo contains the code to train and test NetTCR-2.1 models

nettcr-2.2 icon nettcr-2.2

Sequence-based prediction of peptide-TCR interactions using paired chain data

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