Value at risk (VaR) is an approach used in risk management to measure downside risk. Not
all VaRs, however, are created equal. Defining and accurately measuring market risk is a …

Gene regulatory network inference (that is, determination of the regulatory interactions
between a set of genes) provides mechanistic insights of central importance to research in …

In this paper we consider a location model based on the threshold concept. We find the best
location such that the probability of revenue falling short of the threshold is minimized. This …

A range of tools are available to model, simulate and analyze gene regulatory networks (GRNs).
However, these tools provide limited ability to control network topology, system …

Recent technological advancements have made time-resolved, quantitative, multi-omics data
available for many model systems, which could be integrated for systems pharmacokinetic …

Background Genomic medicine has paved the way for identifying biomarkers and
therapeutically actionable targets for complex diseases, but is complicated by the involvement of …

Background Cancer patients often show no or only modest benefit from a given therapy.
This major problem in oncology is generally attributed to the lack of specific predictive …

Today’s industries face an increasing global competition. Decision makers have to deal with
different kinds of uncertainty, a complex business ecosystem, a high pace of change, and …

The regulatory relationships between genes and proteins in a cell form a gene regulatory
network (GRN) that controls the cellular response to changes in the environment. A number of …

… supervisor Maya Hoveskog, and the members of the research project “Business model
innovation: A case study of maintenance services for the wind power industry” especially Mike …