Vortrag: Machine Learning in Infection Research
Prof. Dr. Alice McHardy, HZI Helmholtz Centre for Infection Research
The Department of “Computational Biology for Infection Research” studies the human microbiome, viral and bacterial pathogens, and human cell lineages within individual patients by analysis of large-scale biological and epidemiological data sets with computational techniques. Focusing on high throughput meta’omics, population genomic and single cell sequencing data, we produce testable hypotheses, such as sets of key sites or relevant genes associated with the presence of a disease, of antibiotic resistance or pathogenic evasion of immune defense. In my talk, I will give an overview of these topics and show with some examples how machine learning and data mining methods can play a big role in the analysis of these data, for a range of biological classification or regression tasks.
16 November 2018, 14:00
Multimedia Room, 15th Floor, L3S