HEIDELBERG LECTURE
Student Projects
Links to individual projects:
Nutrition Webs, by Claire Zhao Sun.
PaDaEx: a R shiny Pandemic Data Visualisation and Analysis Tool, by Steffen Bauer.
Neoantigen-Associated Mutations in Microsatellite Unstable Colorectal Cancer, by Charlotte Boys
Machine Learning workflow for discovery of dynamics in biological systems from time-series multiomics data, by Achita Prasertwaree and Kevin Siswandi
Topology based data analysis identifies a subgroup of breast cancers with a unique mutational profile and excellent survival, by Sebastian Dobrzynski and André Schulze
Simulation of the Transmission and Control of Infectious Disease, by Rui Wang
Multinomial Logistic Regression, by Sebastian Müller
Smoke simulations Using Machine Learning, by Ulrich Prestel