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» Combined Gene Selection Methods for Microarray Data Analysis
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BMCBI
2005
97views more  BMCBI 2005»
15 years 2 months ago
Phylogenetic reconstruction of ancestral character states for gene expression and mRNA splicing data
Background: As genomes evolve after speciation, gene content, coding sequence, gene expression, and splicing all diverge with time from ancestors with close relatives. A minimum e...
Roald Rossnes, Ingvar Eidhammer, David A. Liberles
BMCBI
2004
113views more  BMCBI 2004»
15 years 2 months ago
Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide array
Background: To identify differentially expressed genes across experimental conditions in oligonucleotide microarray experiments, existing statistical methods commonly use a summar...
Leah Barrera, Chris Benner, Yong-Chuan Tao, Elizab...
BMCBI
2006
122views more  BMCBI 2006»
15 years 2 months ago
A multivariate prediction model for microarray cross-hybridization
Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...
Yian A. Chen, Cheng-Chung Chou, Xinghua Lu, Elizab...
118
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BMCBI
2006
115views more  BMCBI 2006»
15 years 2 months ago
SimArray: a user-friendly and user-configurable microarray design tool
Background: Microarrays were first developed to assess gene expression but are now also used to map protein-binding sites and to assess allelic variation between individuals. Rega...
Richard P. Auburn, Roslin R. Russell, Bettina Fisc...
104
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BIOINFORMATICS
2005
93views more  BIOINFORMATICS 2005»
15 years 2 months ago
Donuts, scratches and blanks: robust model-based segmentation of microarray images
Inner holes, artifacts and blank spots are common in microarray images, but current image analysis methods do not pay them enough attention. We propose a new robust model-based me...
Qunhua Li, Chris Fraley, Roger Eugene Bumgarner, K...