1.6k citations · 3.3k across the 24 of their papers we have counts for
3 papers · 1 filter
Evaluating machine learning models in non-standard settings: An overview and new findings
Roman Hornung, Malte Nalenz, Lennart Schneider +5
Estimating the generalization error (GE) of machine learning models is fundamental, with resampling methods being the most common approach. However, in non-standard settings, parti…
From RNA sequencing measurements to the final results: a practical guide to navigating the choices and uncertainties of gene set analysis
Milena Wünsch, Christina Sauer, Patrick Callahan +2
Gene set analysis, a popular approach for analyzing high-throughput gene expression data, aims to identify sets of related genes that show significantly enriched or depleted expres…
Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study
Roman Hornung, Frederik Ludwigs, Jonas Hagenberg +1
As the availability of omics data has increased in the last few years, more multi-omics data have been generated, that is, high-dimensional molecular data consisting of several typ…