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» Functional programming with structured graphs
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ALMOB
2006
109views more  ALMOB 2006»
15 years 1 months ago
A novel functional module detection algorithm for protein-protein interaction networks
Background: The sparse connectivity of protein-protein interaction data sets makes identification of functional modules challenging. The purpose of this study is to critically eva...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...
BMCBI
2008
228views more  BMCBI 2008»
15 years 1 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
ICIP
2008
IEEE
16 years 3 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
WCRE
2005
IEEE
15 years 6 months ago
Toward an Infrastructure to Support Interoperability in Reverse Engineering
In this paper we present an infrastructure that supports interoperability among various reverse engineering tools and applications. We include an Application Programmer’s Interf...
Nicholas A. Kraft, Brian A. Malloy, James F. Power
CORR
2010
Springer
114views Education» more  CORR 2010»
14 years 12 months ago
On weakly optimal partitions in modular networks
Abstract. Modularity was introduced as a measure of goodness for the community structure induced by a partition of the set of vertices in a graph. Then, it also became an objective...
José Ignacio Alvarez-Hamelin, Beiró ...