Technical University of Denmark

Its a trap! A data science case story

Predictive modeling is a powerful tool, which amongst other things can be applied for prioritising drug candidates. Limiting the search space needed for target exploration, can reduce costs markedly partly eliminating lab time and expensive kits. …

Artificial Neural Networks in R with Keras and TensorFlow

This workshop is introductory and open to everyone assuming basic R/Data Science skills. Please note, the workshop is very hands-on oriented, so expect to get your fingers dirty! The aim will be an introduction to ANNs in R. ANNs form the basic unit …

Tidysq for Working with Biological Sequence Data in ML Driven Epitope Prediction in Cancer Immunotherapy

We are amidst a data revolution. Just the past 5 years, the cost of sequencing a human genome has gone down approximately 10-fold. This development moves equally fast within areas such as mass spectrometry, in vitro immuno-peptide screening a.o. This …

Artificial neural networks in R with Keras and TensorFlow

NetTCR: Towards Accurate Prediction of T-cell Targets using Deep Learning

The interaction between the Major Histocompatibility Complex type I (MHC-I), a peptide and the T-cell receptor (TCR) (MHCIpTCR) is a key determinant of immune response elicitation and therefore of paramount importance in infectious- and autoimmune …