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BMCBI
2005
136views more  BMCBI 2005»
13 years 9 months ago
Automatic detection of false annotations via binary property clustering
Background: Computational protein annotation methods occasionally introduce errors. Falsepositive (FP) errors are annotations that are mistakenly associated with a protein. Such f...
Noam Kaplan, Michal Linial
BMCBI
2008
142views more  BMCBI 2008»
13 years 9 months ago
Identification of biomarkers for genotyping Aspergilli using non-linear methods for clustering and classification
Background: In the present investigation, we have used an exhaustive metabolite profiling approach to search for biomarkers in recombinant Aspergillus nidulans (mutants that produ...
Irene Kouskoumvekaki, Zhiyong Yang, Svava Ó...
TOOLS
1998
IEEE
14 years 22 days ago
Designing Persistent Object-Oriented Software Architectures
Conventional object-oriented analysis delivers a business object model, which is transformed during design into collaborating class clusters which implement the business model...
Paul Taylor
FQAS
2004
Springer
126views Database» more  FQAS 2004»
14 years 2 months ago
Cluster Characterization through a Representativity Measure
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
Marie-Jeanne Lesot, Bernadette Bouchon-Meunier
DASFAA
2007
IEEE
178views Database» more  DASFAA 2007»
14 years 3 months ago
ClusterSheddy : Load Shedding Using Moving Clusters over Spatio-temporal Data Streams
Abstract. Moving object environments are characterized by large numbers of objects continuously sending location updates. At times, data arrival rates may spike up, causing the loa...
Rimma V. Nehme, Elke A. Rundensteiner