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» Inferring Genetic Networks from Microarray Data
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CEC
2009
IEEE
15 years 6 months ago
Distributed genetic algorithm using automated adaptive migration
—We present a new distributed genetic algorithm that can be used to extract useful information from distributed, large data over the network. The main idea of the proposed algori...
Hyunjung Lee, Byonghwa Oh, Jihoon Yang, Seonho Kim
BMCBI
2011
14 years 8 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...
119
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BMCBI
2006
166views more  BMCBI 2006»
15 years 1 months ago
Extraction of phylogenetic network modules from the metabolic network
Background: In bio-systems, genes, proteins and compounds are related to each other, thus forming complex networks. Although each organism has its individual network, some organis...
Takuji Yamada, Minoru Kanehisa, Susumu Goto
BMCBI
2007
215views more  BMCBI 2007»
15 years 1 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
ACCV
2010
Springer
14 years 8 months ago
Network Connectivity via Inference over Curvature-Regularizing Line Graphs
Abstract. Diffusion Tensor Imaging (DTI) provides estimates of local directional information regarding paths of white matter tracts in the human brain. An important problem in DTI ...
Maxwell D. Collins, Vikas Singh, Andrew L. Alexand...