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» Cross-Platform Analysis with Binarized Gene Expression Data
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CINQ
2004
Springer
138views Database» more  CINQ 2004»
14 years 1 months ago
Relevancy in Constraint-Based Subgroup Discovery
This chapter investigates subgroup discovery as a task of constraint-based mining of local patterns, aimed at describing groups of individuals with unusual distributional character...
Nada Lavrac, Dragan Gamberger
ICML
2004
IEEE
14 years 9 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
BMCBI
2010
136views more  BMCBI 2010»
13 years 8 months ago
Bias correction and Bayesian analysis of aggregate counts in SAGE libraries
Background: Tag-based techniques, such as SAGE, are commonly used to sample the mRNA pool of an organism's transcriptome. Incomplete digestion during the tag formation proces...
Russell L. Zaretzki, Michael A. Gilchrist, William...
BMCBI
2008
129views more  BMCBI 2008»
13 years 8 months ago
EMAAS: An extensible grid-based Rich Internet Application for microarray data analysis and management
Background: Microarray experimentation requires the application of complex analysis methods as well as the use of non-trivial computer technologies to manage the resultant large d...
Geraint Barton, J. C. Abbott, Norie Chiba, D. W. H...
BMCBI
2008
122views more  BMCBI 2008»
13 years 8 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang