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BMCBI
2007
134views more  BMCBI 2007»
14 years 10 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
BMCBI
2004
150views more  BMCBI 2004»
14 years 10 months ago
Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data
Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
Dietmar E. Martin, Philippe Demougin, Michael N. H...
BMCBI
2004
169views more  BMCBI 2004»
14 years 10 months ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
BMCBI
2006
102views more  BMCBI 2006»
14 years 10 months ago
Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinase mutants of
Background: The Thymidine kinase (Tk) mutants generated from the widely used L5178Y mouse lymphoma assay fall into two categories, small colony and large colony. Cells from the la...
Tao Han, Jianyong Wang, Weida Tong, Martha M. Moor...
ICC
2011
IEEE
237views Communications» more  ICC 2011»
13 years 9 months ago
Reorganized and Compact DFA for Efficient Regular Expression Matching
—Regular expression matching has become a critical yet challenging technique in content-aware network processing, such as application identification and deep inspection. To meet ...
Kai Wang, Yaxuan Qi, Yibo Xue, Jun Li