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BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
13 years 8 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
BMCBI
2005
145views more  BMCBI 2005»
13 years 8 months ago
CAGER: classification analysis of gene expression regulation using multiple information sources
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
Jianhua Ruan, Weixiong Zhang
VIS
2008
IEEE
204views Visualization» more  VIS 2008»
14 years 10 months ago
Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...
BIBE
2001
IEEE
193views Bioinformatics» more  BIBE 2001»
14 years 17 days ago
GIMS - A Data Warehouse for Storage and Analysis of Genome Sequence and Functional Data
Effective analysis of genome sequences and associated functional data requires access to many different kinds of biological information. For example, when analysing gene expressio...
Mike Cornell, Norman W. Paton, Shengli Wu, Carole ...
BMCBI
2004
124views more  BMCBI 2004»
13 years 8 months ago
Tests for finding complex patterns of differential expression in cancers: towards individualized medicine
Background: Microarray studies in cancer compare expression levels between two or more sample groups on thousands of genes. Data analysis follows a population-level approach (e.g....
James Lyons-Weiler, Satish Patel, Michael J. Becic...