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» Unfolding of Microarray Data
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CEC
2007
IEEE
13 years 12 months ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang
ICPR
2008
IEEE
14 years 2 months ago
A fuzzy c-means algorithm using a correlation metrics and gene ontology
A fuzzy c-means algorithm was adapted for analyzing microarray data. The adaptation consisted of initialization of fuzzy centroids using gene ontology information and the use of P...
Mingrui Zhang, Terry M. Therneau, Michael A. McKen...
KES
2006
Springer
13 years 7 months ago
Evolutionary Tuning of Combined Multiple Models
Abstract. In data mining, hybrid intelligent systems present a synergistic combination of multiple approaches to develop the next generation of intelligent systems. Our paper prese...
Gregor Stiglic, Peter Kokol
IJBRA
2007
97views more  IJBRA 2007»
13 years 7 months ago
Structural Risk Minimisation based gene expression profiling analysis
: For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...
Xue-wen Chen, Byron Gerlach, Dechang Chen, ZhenQiu...
BMCBI
2006
137views more  BMCBI 2006»
13 years 8 months ago
Biologically relevant effects of mRNA amplification on gene expression profiles
Background: Gene expression microarray technology permits the analysis of global gene expression profiles. The amount of sample needed limits the use of small excision biopsies an...
Rachel I. M. van Haaften, Blanche Schroen, Ben J. ...