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Integrating and Ranking Uncertain Scientific Data
2009
Proceedings / International Conference on Data Engineering
The BioRank project investigates formalisms for modeling uncertainties of scientific data in a mediator-based data integration system. Our motivating application is predicting previously not known functions of proteins. Much can be learned in biology by integrating known information with biological similarity functions and confidence values of experimental results. In this paper, we evaluate the role that probabilities can play in such a scenario with the help of real-world data. In particular,
doi:10.1109/icde.2009.209
dblp:conf/icde/DetwilerGLST09
fatcat:lvx3uur4dbc3lnlichykzs2iva