Information retrieval and ranking for computational models
Modelling biological systems is necessary to characterize biological phenomena and to study the behavior of biological systems. As the science is developing day by day, the number of models is rising too. Therefore searching for models is becoming more and more important. Models can be searched by different aspects. For example we can search models by keywords or by certain structures. Models can be searched by their ontology terms too. However, as we are to optimize methods to search for models, combining search results is equally important.
From this perspective, we are interested in how to create a metric to combine results from our current ranked retrieval into a single similarity score.
Bachelor degree in Computer Science
University of Rostock
Systems Biology and Bioinformatics
Ulmenstrasse 69 (building 3, 3rd floor)
18057 Rostock, Germany
phone: +49 381 498-7680
fax: +49 381 498-118 7572