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» Near-Deterministic Inference of AS Relationships
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BMCBI
2010
172views more  BMCBI 2010»
14 years 10 months ago
Comparison of evolutionary algorithms in gene regulatory network model inference
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
Alina Sîrbu, Heather J. Ruskin, Martin Crane
BMCBI
2010
112views more  BMCBI 2010»
14 years 10 months ago
A parameter-adaptive dynamic programming approach for inferring cophylogenies
Background: Coevolutionary systems like hosts and their parasites are commonly used model systems for evolutionary studies. Inferring the coevolutionary history based on given phy...
Daniel Merkle, Martin Middendorf, Nicolas Wieseke
95
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BIOINFORMATICS
2006
118views more  BIOINFORMATICS 2006»
14 years 10 months ago
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Magnus Rattray, Neil D. Lawrenc...
91
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IJAR
2008
118views more  IJAR 2008»
14 years 10 months ago
Dynamic multiagent probabilistic inference
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...
Xiangdong An, Yang Xiang, Nick Cercone
BMCBI
2005
189views more  BMCBI 2005»
14 years 10 months ago
Quantitative inference of dynamic regulatory pathways via microarray data
Background: The cellular signaling pathway (network) is one of the main topics of organismic investigations. The intracellular interactions between genes in a signaling pathway ar...
Wen-Chieh Chang, Chang-Wei Li, Bor-Sen Chen