Design of a flexible component gathering algorithm for converting cell-based models to graph representations for use in evolutionary search.

Levin, Michael.
Budnikova, Marianna.
Habig, Jeffrey W.
Lobo, Daniel.
Cornia, Nicolas.
Andersen, Tim.
2014

Background: The ability of science to produce experimental data has outpaced the ability to effectively visualize and integrate the data into a conceptual framework that can further higher order understanding. Multidimensional and shape-based observational data of regenerative biology presents a particularly daunting challenge in this regard. Large amounts of data are available in regenerative bio... read more

Subjects
Information visualization.
Regeneration (Biology)
Algorithms.
Tufts University. Department of Biology.
Permanent URL
http://hdl.handle.net/10427/009731
Original publication
Budnikova et al.: Design of a flexible component gathering algorithm for converting cell-based models to graph representations for use in evolutionary search. BMC Bioinformatics 2014 15:178. doi:10.1186/1471-2105-15-178.
ID: tufts:18170
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