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Applied Graph-Mining Algorithms to Study Biomolecular Interaction Networks
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Apriori / GRAAL / New York / Optimization / Washington / DC / Local Distance / Substructure / Article / Santa Cruz / /

Company

Neural Information Processing Systems / Lehman / ADJW / Creative Commons / H. Jeong S. P. / Hindawi Publishing Corporation / /

Country

United States / /

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Facility

University of Nebraska Medical Center / College of Medicine / /

IndustryTerm

local search algorithm / memory utilization algorithm / large interaction networks / protein interaction networks / overall network / cellular systems / machine-learning algorithms / hierarchical clustering algorithms / frequency-based subgraph mining algorithms / published graph comparison algorithms / seedand-extend algorithm / protein-protein interaction networks / protein networks / graphlet-based alignment algorithms / interaction network / computational algorithms / input networks / biological systems / large networks / cellular machinery / heuristic simulated annealing algorithm / search metaheuristic / longer processing time / exhaustive search / important tool / search algorithm / large-scale biomolecular interaction networks / subtree algorithm / subgraph alignment algorithm / power law degree distribution / graph-mining methods / spectral partitioning algorithm / module detection algorithms / sized networks / molecular interaction networks / biomolecular networks / local alignment search tool / biological networks / important applications / protein interaction network / systems biology applications / distance-based algorithms / larger network / large protein interaction networks / indispensable tool / power law distribution graphs / random network / proteinprotein interaction networks / theory-based algorithms / larger networks / cancer protein-protein interaction networks / local search method / seed-and-extend algorithms / large biological networks / alignment algorithm / graph alignment algorithms / cancer networks / neighbor-joining algorithm / seed-and-extend algorithm / /

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W. V / /

Organization

National Academy of Sciences / Computer Science Department / Nebraska Medical Center / UNMC Research Editorial Office / USA Department of Genetics / Cell Biology and Anatomy / Department of Computer Science / University of Nebraska / College of Medicine / /

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M. Kalaev / V / Melody Montgomery / Gene Ontology / /

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investigator / suitable model for PPI module detection / Academic Editor / King / feed-forward / representative / /

ProvinceOrState

New York / California / /

PublishedMedium

Journal of Molecular Biology / Machine Learning / Nature Biotechnology / Proceedings of the National Academy of Sciences / Genome Research / Journal of Machine Learning Research / Journal of the Royal Society Interface / Nucleic Acids Research / /

Technology

local search algorithm / subtree algorithm / machine-learning algorithms / Bioinformatics / search algorithm / known algorithms / graph alignment algorithms / Graemlin algorithm / Biotechnology / high-throughput screening / neighbor-joining algorithm / 11 pages http /

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