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GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
LCTRTS
2010
Springer
13 years 5 months ago
Improving both the performance benefits and speed of optimization phase sequence searches
The issues of compiler optimization phase ordering and selection present important challenges to compiler developers in several domains, and in particular to the speed, code size,...
Prasad A. Kulkarni, Michael R. Jantz, David B. Wha...
ISMB
1994
13 years 9 months ago
Evolution of a Computer Program for Classifying Protein Segments as Transmembrane Domains Using Genetic Programming
The recently-developedgenetic programming paradigmisused to evoIve a computer program to classify a given protein segment as being a transmembrane domainor non-uansmembranearea of...
John R. Koza
INFORMATICALT
2010
142views more  INFORMATICALT 2010»
13 years 6 months ago
Complexity Estimation of Genetic Sequences Using Information-Theoretic and Frequency Analysis Methods
The genetic information in cells is stored in DNA sequences, represented by a string of four letters, each corresponding to a definite type of nucleotides. Genomic DNA sequences a...
Robertas Damasevicius