activity
20122024
most citedAnalysis of Reaction Network Systems Using Tropical Geometry

4 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2024★ 2 cited

NFDI4Health workflow and service for synthetic data generation, assessment and risk management

Sobhan Moazemi, Tim Adams, Hwei Geok NG +5

Individual health data is crucial for scientific advancements, particularly in developing Artificial Intelligence (AI); however, sharing real patient information is often restricte…

q-bio.QM2023

Towards early diagnosis of Alzheimer's disease: Advances in immune-related blood biomarkers and computational modeling approaches

Sophia Krix, Ella Wilczynski, Neus Falgàs +5

Alzheimer's disease has an increasing prevalence in the population world-wide, yet current diagnostic methods based on recommended biomarkers are only available in specialized clin…

stat.ME2023★ 3 cited

Synthetic data generation for a longitudinal cohort study -- Evaluation, method extension and reproduction of published data analysis results

Lisa Kühnel, Julian Schneider, Ines Perrar +5

Access to individual-level health data is essential for gaining new insights and advancing science. In particular, modern methods based on artificial intelligence rely on the avail…

q-bio.MN2015★ 1 cited

A geometric method for model reduction of biochemical networks with polynomial rate functions

Satya Swarup Samal, Dima Grigoriev, Holger Fröhlich +2

Model reduction of biochemical networks relies on the knowledge of slow and fast variables. We provide a geometric method, based on the Newton polytope, to identify slow variables…

q-bio.MN2015★ 4 cited

Analysis of Reaction Network Systems Using Tropical Geometry

Satya Swarup Samal, Dima Grigoriev, Holger Fröhlich +1

We discuss a novel analysis method for reaction network systems with polynomial or rational rate functions. This method is based on computing tropical equilibrations defined by the…

q-bio.GN2012

Integrating Prior Knowledge Into Prognostic Biomarker Discovery based on Network Structure

Yupeng Cun, Holger Fröhlich

Background: Predictive, stable and interpretable gene signatures are generally seen as an important step towards a better personalized medicine. During the last decade various meth…