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» Expressiveness of Process Algebras
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BMCBI
2002
188views more  BMCBI 2002»
15 years 4 months ago
The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
David M. Mutch, Alvin Berger, Robert Mansourian, A...
ISBI
2004
IEEE
16 years 5 months ago
Microarray Gene Expression Data Analysis
Image analysis is a crucial step in processing microarray data generated by gene expression studies, which have been used extensively in understanding the molecular mechanisms of ...
Yuhua Ding, Jacqueline Fairley, George J. Vachtsev...
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
15 years 10 months ago
Parsing and translation of expressions by genetic programming
We have investigated the potential for using genetic programming to evolve compiler parsing and translation routines for processing arithmetic and logical expressions as they are ...
David Jackson
AISC
2010
Springer
15 years 9 months ago
Reducing Expression Size Using Rule-Based Integration
This paper describes continuing progress on the development of a repository of transformation rules relevant to indefinite integration. The methodology, however, is not restricted...
David J. Jeffrey, Albert D. Rich
BILDMED
2009
153views Algorithms» more  BILDMED 2009»
15 years 5 months ago
Automatic Classification of Embryonic Fruit Fly Gene Expression Patterns
Abstract. Carefully studied in-situ hybridization Gene expression patterns (GEP) can provide a first glance at possible relationships among genes. Automatic comparative analysis to...
Andreas Heffel, Sonja J. Prohaska, Peter F. Stadle...