Statistical Computing and Mathematical Modeling
Progress in biology is driven by technology. High throughput sequencing and microscopy require sophisticated statistical and computational operations in order to exploit their potential. To understand (and, eventually, manipulate) biological systems, all available data about them need to be integrated into computable maps and mathematical models. Ideas and techniques from physics, mathematics, statistics, computer science and engineering are the crucial drivers for our research.
Covariate powered cross-weighted multiple testing, Nikolaos Ignatiadis, Wolfgang Huber, Jul 2017.
Adaptive penalization in high-dimensional regression and classification with external covariates using variational Bayes, Britta Velten and Wolfgang Huber. Biostatistics, Oct 2019.
Modern Statistics for Modern Biology, Susan Holmes, Wolfgang Huber, Feb 2019