Abstract Details
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Activity Number:
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3
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Type:
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Invited
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Date/Time:
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Sunday, August 4, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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| Abstract - #307316 |
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Title:
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Persistence Test and Maltose-Binding Protein Complex
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Author(s):
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Giseon Heo*+ and Violeta Kovacev-Nikolic and Peter Bubenik and Dragan Nikolic
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Companies:
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University of Alberta and University of Alberta and Cleveland State University and University of Alberta
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Keywords:
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persistent homology ;
persistence landscape ;
barcode ;
persistence diagram ;
permutation test
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Abstract:
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These days many data sets consist of values that are high dimensional (with relatively small sample size) and complex in the sense that the data live in a nonlinear manifold or a non-manifold. Data from medical images, genomic studies, and networks of sensors, are a few examples. Computational topologists recently introduced a new method, called persistent homology that can be used to analyze such data. We illustrate the applications of persistent homology in comparing open and closed Maltose-binding proteins.
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Authors who are presenting talks have a * after their name.
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