• Publications
  • Influence
Reverse engineering of metabolic networks, a critical assessment.
TLDR
Inferring metabolic networks from metabolite concentration data is a central topic in systems biology. Expand
  • 29
  • 3
Network inference from time-resolved metabolomics data
Statistische en wiskundige methoden leveren waardevolle inzichten op over de regulering van het metabolisme (de stofwisseling) onder verschillende condities. Het analyseren vanExpand
  • 3
  • 1
  • PDF
diXa: a data infrastructure for chemical safety assessment
TLDR
We developed the Data Infrastructure for Chemical Safety Assessment (diXa), a database and web interface providing access to toxicogenomics datasets and analysis. Expand
  • 25
  • PDF
MetDFBA: incorporating time-resolved metabolomics measurements into dynamic flux balance analysis.
Understanding cellular adaptation to environmental changes is one of the major challenges in systems biology. To understand how cellular systems react towards perturbations of their steady state, theExpand
  • 24
  • PDF
Workshop report: Identifying opportunities for global integration of toxicogenomics databases, 26–27 June 2013, Research Triangle Park, NC, USA
TLDR
A joint US-EU workshop on enhancing data sharing and exchange in toxicogenomics was held at the National Institute for Environmental Health Sciences. Expand
  • 8
Global test for metabolic pathway differences between conditions.
In many metabolomics applications there is a need to compare metabolite levels between different conditions, e.g., case versus control. There exist many statistical methods to perform suchExpand
  • 21
DTNI: a novel toxicogenomics data analysis tool for identifying the molecular mechanisms underlying the adverse effects of toxic compounds
Unravelling gene regulatory networks (GRNs) influenced by chemicals is a major challenge in systems toxicology. Because toxicant-induced GRNs evolve over time and dose, the analysis of global geneExpand
  • 7
Bayesian Network Inference Enables Unbiased Phenotypic Anchoring of Transcriptomic Responses to Cigarette Smoke in Humans.
Microarray-based transcriptomic analysis has been demonstrated to hold the opportunity to study the effects of human exposure to, e.g., chemical carcinogens at the whole genome level, thus yieldingExpand
  • 4
diXa: a data infrastructure for chemical safety
Motivation: The field of toxicogenomics (the application of ‘-omics’ technologies to risk assessment of compound toxicities) has expanded in the last decade, partly driven by new legislation, aimedExpand
  • 1
Screening for hepatitis C at the emergency department: Should babyboomers also be screened in Belgium?
Patients are not screened adequately for hepatitis C virus infection in Belgium. In the USA, the Center for Disease Control recommends screening for patients born in the babyboom period (1945‐1965).Expand
  • 3