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BMCBI
2006
169views more  BMCBI 2006»
13 years 5 months ago
Finding biological process modifications in cancer tissues by mining gene expression correlations
Background: Through the use of DNA microarrays it is now possible to obtain quantitative measurements of the expression of thousands of genes from a biological sample. This techno...
Giacomo Gamberoni, Sergio Storari, Stefano Volinia
BMCBI
2007
105views more  BMCBI 2007»
13 years 5 months ago
Generating confidence intervals on biological networks
Background: In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interact...
Thomas Thorne, Michael P. H. Stumpf
BMCBI
2007
151views more  BMCBI 2007»
13 years 5 months ago
A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microar
Background: The incorporation of prior biological knowledge in the analysis of microarray data has become important in the reconstruction of transcription regulatory networks in a...
Peter Larsen, Eyad Almasri, Guanrao Chen, Yang Dai
COMPSAC
2006
IEEE
13 years 11 months ago
Consensus Ontology Generation in a Socially Interacting MultiAgent System
This paper presents an approach for building consensus ontologies from the individual ontologies of a network of socially interacting agents. Each agent has its own conceptualizat...
Ergun Biçici
BIBM
2008
IEEE
141views Bioinformatics» more  BIBM 2008»
13 years 12 months ago
Protein-Protein Interaction Network Alignment by Quantitative Simulation
We adapt a network simulation algorithm called quantitative simulation (QSim) for use in the alignment of biological networks. Unlike most network alignment methods, QSim finds l...
Perry Evans, Ted Sandler, Lyle H. Ungar