On June 25th we had a pleasure to host Why R? Webinar with Dr. Leon Eyrich Jessen who did current a In Silico Immunology: Neural Networks for Modelling Molecular Interactions utilizing Tensorflow by way of Keras in R.
In case you are within the speak try the Webinar!
Beneath you will discover the biogram of the speaker and the summary of the speak.
Leon Eyrich Jessen is an assistant professor of bioinformatics at division of Well being Expertise at Technical College of Denmark (DTU). He obtained his PhD in bioinformatics from the Heart for Organic Sequences Evaluation at DTU in 2014 after which he held two postdoctoral positions in scientific genetics. Hereafter, he returned to the newly fashioned Division of Well being Expertise to proceed his analysis within the Immunoinformatics and Machine Studying Group at part for bioinformatics. All through his profession, his analysis focus has been on connecting genotype to phenotype in an immunological context.
Understanding what constitutes an immune goal is pivotal in vaccinology. With the appearance of COVID-19 this has solely turn out to be extra evident. Whereas computer-based predictions can not change conventional experimental validation within the laboratory, it will possibly function an necessary device to drastically cut back the goal search area and enhance understanding. On this webinar, I’ll display how we will mannequin immune targets utilizing synthetic neural networks (ANNs) in R. ANNs represent the fundamental constructing block of Deep Studying. Furthermore, I’ll use the binding of peptides to the Main Histocompatibility Advanced class I (MHCI) as a examine case. pMHC formation is a precursor for activation of cytotoxic T-lymphocytes, which in flip is the first system for ridding the physique of viral infections. The webinar assumes no prior data and shall be adopted by a Q&A.