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» Using Bayesian networks to analyze expression data
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WSNA
2003
ACM
15 years 3 months ago
Analyzing and modeling encryption overhead for sensor network nodes
Recent research in sensor networks has raised security issues for small embedded devices. Security concerns are motivated by the deployment of a large number of sensory devices in...
Prasanth Ganesan, Ramnath Venugopalan, Pushkin Ped...
PODS
2010
ACM
213views Database» more  PODS 2010»
15 years 2 months ago
Expressive languages for path queries over graph-structured data
For many problems arising in the setting of graph querying (such as finding semantic associations in RDF graphs, exact and approximate pattern matching, sequence alignment, etc.)...
Pablo Barceló, Carlos A. Hurtado, Leonid Li...
BMCBI
2010
154views more  BMCBI 2010»
14 years 10 months ago
Candidate gene prioritization by network analysis of differential expression using machine learning approaches
Background: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available...
Daniela Nitsch, Joana P. Gonçalves, Fabian ...
WWW
2007
ACM
15 years 10 months ago
The use of XML to express a historical knowledge base
Since conventional historical records have been written assuming human readers, they are not well-suited for computers to collect and process automatically. If computers could und...
Katsuko T. Nakahira, Masashi Matsui, Yoshiki Mikam...
CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Predicting gene function by combining expression and interaction data
In this study we combined the spurious protein interaction data from the Database of Interacting Proteins with the recently published gene expression data of S. cerevisiae grown w...
Rogier J. P. van Berlo, Lodewyk F. A. Wessels, S. ...