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» Inferring Genetic Networks from Microarray Data
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BMCBI
2007
152views more  BMCBI 2007»
15 years 1 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
FSKD
2006
Springer
127views Fuzzy Logic» more  FSKD 2006»
15 years 5 months ago
On the Society of Genome: Social Affiliation Network Analysis of Microarray Data
Abstract. To investigate the structure of the genomic interaction network built from yeast gene-expression compendium dataset of hundreds of systematic perturbations, social affili...
Jung Hun Ohn, Jihoon Kim, Ju Han Kim
BMCBI
2006
128views more  BMCBI 2006»
15 years 1 months ago
An interactive tool for visualization of relationships between gene expression profiles
Background: Application of phenetic methods to gene expression analysis proved to be a successful approach. Visualizing the results in a 3-dimentional space may further enhance th...
Peter Ruzanov, Steven J. M. Jones
ISCI
2008
137views more  ISCI 2008»
15 years 1 months ago
Inference of differential equation models by genetic programming
This paper describes an evolutionary method for identifying a causal model from the observed time series data. We use a system of ordinary differential equations (ODEs) as the cau...
Hitoshi Iba
FGCN
2008
IEEE
155views Communications» more  FGCN 2008»
15 years 3 months ago
Modeling the Marginal Distribution of Gene Expression with Mixture Models
We report the results of fitting mixture models to the distribution of expression values for individual genes over a broad range of normal tissues, which we call the marginal expr...
Edward Wijaya, Hajime Harada, Paul Horton