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» A Graph Theoretic Approach to Protein Structure Selection
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BMCBI
2007
115views more  BMCBI 2007»
13 years 8 months ago
How accurate and statistically robust are catalytic site predictions based on closeness centrality?
Background: We examine the accuracy of enzyme catalytic residue predictions from a network representation of protein structure. In this model, amino acid α-carbons specify vertic...
Eric Chea, Dennis R. Livesay
GG
2004
Springer
14 years 2 months ago
Extending Graph Rewriting for Refactoring
Refactorings are transformations that change the structure of a program, while preserving the behavior. The topic has attracted a lot of attention recently, since it is a promising...
Niels Van Eetvelde, Dirk Janssens
AAIM
2008
Springer
119views Algorithms» more  AAIM 2008»
14 years 3 months ago
Engineering Comparators for Graph Clusterings
A promising approach to compare two graph clusterings is based on using measurements for calculating the distance between them. Existing measures either use the structure of cluste...
Daniel Delling, Marco Gaertler, Robert Görke,...
ICPR
2008
IEEE
14 years 9 months ago
Supervised learning of a generative model for edge-weighted graphs
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
Andrea Torsello, David L. Dowe
ICS
2003
Tsinghua U.
14 years 1 months ago
Selecting long atomic traces for high coverage
This paper performs a comprehensive investigation of dynamic selection for long atomic traces. It introduces a classification of trace selection methods and discusses existing and...
Roni Rosner, Micha Moffie, Yiannakis Sazeides, Ron...