Abstract
I will discuss novel algorithmic, combinatorial and correlational tools for the analysis of complex natural systems. A pair of illustrative but widely divergent applications will be described. Despite huge differences in data acquisition methodologies, the algorithmic missions for both problems are similar, and help to highlight the rich interplay between data quality and effective computation.
This research has been supported in part by the U.S. National Institutes of Health under grants 1-P01-DA-015027-01, 5-U01-AA-013512 and 1-R01-MH-074460-01, by the U.S. Department of Energy under the EPSCoR Laboratory Partnership Program, by the Australian Research Council, and by the European Commission under the Sixth Framework Programme.
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© 2007 Springer-Verlag Berlin Heidelberg
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Langston, M.A. (2007). Algorithmic Challenges for Systems-Level Correlational Analysis: A Tale of Two Datasets. In: Dehne, F., Sack, JR., Zeh, N. (eds) Algorithms and Data Structures. WADS 2007. Lecture Notes in Computer Science, vol 4619. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73951-7_20
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DOI: https://doi.org/10.1007/978-3-540-73951-7_20
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