Ontology-Guided Principal Component Analysis: Reaching the limits of the doctor-in-the-loop

Biomedical research requires deep domain expertise to perform analyses of complex data sets, assisted by mathematical expertise
provided by data scientists who design and develop sophisticated methods and tools. Such methods and tools not only require preprocessing
of the data, but most of all a meaningful input selection. Usually, data
scientists do not have sufficient background knowledge about the origin
of the data and the biomedical problems to be solved, consequently a
doctor-in-the-loop can be of great help here. In this paper we revise the
viability of integrating an analysis guided visualization component in an
ontology-guided data infrastructure, exemplified by the principal component analysis. We evaluated this approach by examining the potential for
intelligent support of medical experts on the case of cerebral aneurysms
research.