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» Using Bayesian networks to analyze expression data
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BMCBI
2002
214views more  BMCBI 2002»
15 years 3 months ago
Automated modelling of signal transduction networks
Background: Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ul...
Martin Steffen, Allegra Petti, John Aach, Patrik D...
BMCBI
2008
144views more  BMCBI 2008»
15 years 3 months ago
WGCNA: an R package for weighted correlation network analysis
Background: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method ...
Peter Langfelder, Steve Horvath
AVSS
2006
IEEE
15 years 9 months ago
Large System Decision Fusion Performance in Inhomogeneous Sensor Networks
The problem of decision fusion in a large wireless sensor system with many power-constrained distributed nodes is considered. The sensor network is assumed to be inhomogeneous. i....
Sudharman K. Jayaweera, Kossai Al-Tarazi
BMCBI
2005
124views more  BMCBI 2005»
15 years 3 months ago
Tools enabling the elucidation of molecular pathways active in human disease: Application to Hepatitis C virus infection
Background: The extraction of biological knowledge from genome-scale data sets requires its analysis in the context of additional biological information. The importance of integra...
David J. Reiss, Iliana Avila-Campillo, Vesteinn Th...
JMLR
2006
118views more  JMLR 2006»
15 years 3 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng