
Themes:
The 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.
The visual analysis approach employs a matrix-based visualization technique to explore relations between annotation terms in biological data sets. Its 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.
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Technology: | Java OpenGL (JOGL), GAP |
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Project development
Institution:
HAN University of Applied Sciences, Eindhoven University of Technology, Center for the Biology of Disease (VIB), Leuven
Last updated on 12th September, 2014