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An Information Retrieval Perspective on Visualization of Gene Expression Data with Ontological Annotation

Abstract

High-dimensional data are often visualized by dimensionality reduction methods whose goals are not directly related to visualization. We use a recent formalization of visualization as information retrieval and apply that formalism to data with structured annotations: we analyze gene expression data with annotations from the Gene Ontology (GO). We show that using the GO information in visualization yields better retrieval with respect to known ontological relationships and allows discovery of data properties not explained by the ontology.

Citation

J Peltonen, H Aidos, N Gehlenborg, A Brazma and S Kaski. “An Information Retrieval Perspective on Visualization of Gene Expression Data with Ontological Annotation” In Proceedings of the IEEE 2010 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), 2178-2181 (2010).

Publisher URL

http://dx.doi.org/10.1109/ICASSP.2010.5495665