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» Classification of microarray data using gene networks
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BMCBI
2007
148views more  BMCBI 2007»
15 years 3 months ago
fREDUCE: Detection of degenerate regulatory elements using correlation with expression
Background: The precision of transcriptional regulation is made possible by the specificity of physical interactions between transcription factors and their cognate binding sites ...
Randy Z. Wu, Christina Chaivorapol, Jiashun Zheng,...
BMCBI
2010
190views more  BMCBI 2010»
15 years 3 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
15 years 5 months ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
IJON
2010
148views more  IJON 2010»
15 years 1 months ago
Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machin
Several solutions have been proposed to exploit the availability of heterogeneous sources of biomolecular data for gene function prediction, but few attention has been dedicated t...
Matteo Re, Giorgio Valentini
BMCBI
2008
108views more  BMCBI 2008»
15 years 3 months ago
Supervised Lowess normalization of comparative genome hybridization data - application to lactococcal strain comparisons
Background: Array-based comparative genome hybridization (aCGH) is commonly used to determine the genomic content of bacterial strains. Since prokaryotes in general have less cons...
Sacha A. F. T. van Hijum, Richard J. S. Baerends, ...