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An information retrieval perspective on visualization of gene expression data with ontological annotation

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5 Author(s)
Peltonen, J. ; Dept. of Inf. & Comput. Sci., Helsinki Univ. of Technol., Helsinki, Finland ; Aidos, H. ; Gehlenborg, N. ; Brazma, A.
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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.

Published in:

Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on

Date of Conference:

14-19 March 2010