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» Evaluation of clustering algorithms for gene expression data
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ISSA
2004
15 years 8 months ago
Categorizing Vulnerabilities Using Data Clustering Techniques
Vulnerability scanning is one of the proactive information security technologies in the Internet and network security domain. However, the current vulnerability scanner (VS) produ...
Yun (Lillian) Li
BMCBI
2007
117views more  BMCBI 2007»
15 years 6 months ago
Application of a correlation correction factor in a microarray cross-platform reproducibility study
Background: Recent research examining cross-platform correlation of gene expression intensities has yielded mixed results. In this study, we demonstrate use of a correction factor...
Kellie J. Archer, Catherine I. Dumur, G. Scott Tay...
IJHPCN
2008
94views more  IJHPCN 2008»
15 years 6 months ago
Analysing and improving clustering based sampling for microprocessor simulation
: We propose a set of statistical metrics for making a comprehensive, fair, and insightful evaluation of features, clustering algorithms, and distance measures in representative sa...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
BIBE
2007
IEEE
115views Bioinformatics» more  BIBE 2007»
16 years 27 days ago
Semiparametric RMA Background-Correction for Oligonucleotide Arrays
—Microarray technology has provided an opportunity to simultaneously monitor the expression levels of a large number of genes in response to intentional perturbations. A necessar...
Ionut Bebu, Françoise Seillier-Moiseiwitsch...
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
16 years 23 days ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov