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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
FSKD
2006
Springer
127views Fuzzy Logic» more  FSKD 2006»
13 years 9 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
2005
189views more  BMCBI 2005»
13 years 5 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
BMCBI
2005
98views more  BMCBI 2005»
13 years 5 months ago
The effects of normalization on the correlation structure of microarray data
Background: Stochastic dependence between gene expression levels in microarray data is of critical importance for the methods of statistical inference that resort to pooling test-...
Xing Qiu, Andrew I. Brooks, Lev Klebanov, Andrei Y...
KDD
2003
ACM
133views Data Mining» more  KDD 2003»
14 years 5 months ago
Interactive Analysis of Gene Interactions Using Graphical gaussian model
DNA microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Xintao Wu, Yong Ye, Kalpathi R. Subramanian