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BMCBI
2007
197views more  BMCBI 2007»
13 years 11 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park
CGF
2008
142views more  CGF 2008»
13 years 11 months ago
Visualizing Genome Expression and Regulatory Network Dynamics in Genomic and Metabolic Context
DNA microarrays are used to measure the expression levels of thousands of genes simultaneously. In a time series experiment, the gene expressions are measured as a function of tim...
Michel A. Westenberg, Sacha A. F. T. van Hijum, Os...
KAIS
2006
126views more  KAIS 2006»
13 years 10 months ago
Fast and exact out-of-core and distributed k-means clustering
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
Ruoming Jin, Anjan Goswami, Gagan Agrawal
BMCBI
2005
169views more  BMCBI 2005»
13 years 10 months ago
An adaptive method for cDNA microarray normalization
Background: Normalization is a critical step in analysis of gene expression profiles. For duallabeled arrays, global normalization assumes that the majority of the genes on the ar...
Yingdong Zhao, Ming-Chung Li, Richard Simon
AMC
2004
108views more  AMC 2004»
13 years 10 months ago
A variational approach to magnetic resonance coil sensitivity estimation
Abstract. A variational method for estimating a magnetic resonance coil sensitivity from its corresponding nonuniform illumination of magnetic resonance images is proposed and anal...
Stephen L. Keeling, Roland Bammer