COMBat : visualizing co-occurrence of annotation terms
| Autor: | van Brakel, R.B.J., Fiers, M.W.E.J., Francke, C., Westenberg, M.A., Wetering, van de, H.M.M., Roerdink, J., Kennedy, J. |
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| Přispěvatelé: | Algorithms, Geometry and Applications, Visualization |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: | |
| Zdroj: | BioVis 2013 IEEE Symposium on Biological Data Visualization (BioVis, Atlanta GA, USA, October 13-14, 2013), 17-24 STARTPAGE=17;ENDPAGE=24;TITLE=2013 IEEE Symposium on Biological Data Visualization (BioVis, Atlanta GA, USA, October 13-14, 2013) |
| DOI: | 10.1109/biovis.2013.6664342 |
| Popis: | We propose a visual analysis approach that employs a matrix-based visualization technique to explore relations between annotation terms in biological data sets. Our flexible framework provides various ways to form combinations of data elements, which results in a co-occurrence matrix. Each cell in this matrix stores a list of items associated with the combination of the corresponding row and column element. By re-arranging the rows and columns of this matrix, and color-coding the cell contents, patterns become visible. Our prototype tool COMBat allows users to construct a new matrix on the fly by selecting subsets of items of interest, or filtering out uninteresting ones, and it provides various additional interaction techniques. We illustrate our approach with a few case studies concerning the identification of functional links between the presence of particular genes or genomic sequences and particular cellular processes. |
| Databáze: | OpenAIRE |
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