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BMCBI
2006
127views more  BMCBI 2006»
14 years 9 months ago
Using local gene expression similarities to discover regulatory binding site modules
Background: We present an approach designed to identify gene regulation patterns using sequence and expression data collected for Saccharomyces cerevisae. Our main goal is to rela...
Bartek Wilczynski, Torgeir R. Hvidsten, Andriy Kry...
BMCBI
2007
179views more  BMCBI 2007»
14 years 9 months ago
Gene selection with multiple ordering criteria
Background: A microarray study may select different differentially expressed gene sets because of different selection criteria. For example, the fold-change and p-value are two co...
James J. Chen, Chen-An Tsai, ShengLi Tzeng, Chun-H...
CVPR
2004
IEEE
15 years 11 months ago
Feature Selection for Classifying High-Dimensional Numerical Data
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Yimin Wu, Aidong Zhang
BMCBI
2008
113views more  BMCBI 2008»
14 years 9 months ago
A novel application of quantile regression for identification of biomarkers exemplified by equine cartilage microarray data
Background: Identification of biomarkers among thousands of genes arrayed for disease classification has been the subject of considerable research in recent years. These studies h...
Liping Huang, Wenying Zhu, Christopher P. Saunders...
86
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CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Multivariate gene selection: Does it help
When building predictors of disease state based on gene expression data, gene selection is performed in order to achieve a good performance and to identify a relevant subset of ge...
Carmen Lai, Marcel J. T. Reinders