62 citations · 162 across the 18 of their papers we have counts for
19 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…
Grid on QPACE 4
Peter Georg, Nils Meyer, Stefan Solbrig +1
In 2020 we deployed QPACE 4, which features 64 Fujitsu A64FX model FX700 processors interconnected by InfiniBand EDR. QPACE 4 runs an open-source software stack. For Lattice QCD si…
Lattice QCD on upcoming Arm architectures
Nils Meyer, Dirk Pleiter, Stefan Solbrig +1
Recently Arm introduced a new instruction set called Scalable Vector Extension (SVE), which supports vector lengths up to 2048 bits. While SVE hardware will not be generally availa…
SVE-enabling Lattice QCD Codes
Nils Meyer, Peter Georg, Dirk Pleiter +2
Optimization of applications for supercomputers of the highest performance class requires parallelization at multiple levels using different techniques. In this contribution we foc…
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…