25 citations · 48 across the 5 of their papers we have counts for
5 papers
BITES: Balanced Individual Treatment Effect for Survival data
Stefan Schrod, Andreas Schäfer, Stefan Solbrig +7
Estimating the effects of interventions on patient outcome is one of the key aspects of personalized medicine. Their inference is often challenged by the fact that the training dat…
DRAGON: Determining Regulatory Associations using Graphical models on multi-Omic Networks
Katherine H. Shutta, Deborah Weighill, Rebekka Burkholz +5
The increasing quantity of multi-omics data, such as methylomic and transcriptomic profiles, collected on the same specimen, or even on the same cell, provide a unique opportunity…
Fully integrative data analysis of NMR metabolic fingerprints with comprehensive patient data: a case report based on the German Chronic Kidney Disease (GCKD) study
Helena U. Zacharias, Michael Altenbuchinger, Stefan Solbrig +11
Omics data facilitate the gain of novel insights into the pathophysiology of diseases and, consequently, their diagnosis, treatment, and prevention. To that end, it is necessary to…
Loss-function learning for digital tissue deconvolution
Franziska Görtler, Stefan Solbrig, Tilo Wettig +3
The gene expression profile of a tissue averages the expression profiles of all cells in this tissue. Digital tissue deconvolution (DTD) addresses the following inverse problem: Gi…
Scale-invariant biomarker discovery in urine and plasma metabolite fingerprints
Helena U. Zacharias, Thorsten Rehberg, Sebastian Mehrl +6
Motivation: Metabolomics data is typically scaled to a common reference like a constant volume of body fluid, a constant creatinine level, or a constant area under the spectrum. Su…