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BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Statistical method on nonrandom clustering with application to somatic mutations in cancer
Background: Human cancer is caused by the accumulation of tumor-specific mutations in oncogenes and tumor suppressors that confer a selective growth advantage to cells. As a conse...
Jingjing Ye, Adam Pavlícek, Elizabeth A. Lu...
ICCS
2009
Springer
13 years 4 months ago
Gene Specific Co-regulation Discovery: An Improved Approach
Abstract. Discovering gene co-regulatory relationships is a new but important research problem in DNA microarray data analysis. The problem of gene specific co-regulation discovery...
Ji Zhang, Qing Liu, Kai Xu 0003
GECCO
2004
Springer
14 years 10 days ago
A Step Size Preserving Directed Mutation Operator
Using a directed mutation can improve the efficiency of processing many optimization problems. The first mutation operators of this kind proposed by Hildebrand [1], however, suffer...
Stefan Berlik
EPS
1997
Springer
13 years 11 months ago
An Individually Variable Mutation-Rate Strategy for Genetic Algorithms
Abstract. In Neo-Darwinism, mutation can be considered to be unaffected by selection pressure. This is the metaphor generally used by the genetic algorithm for its treatment of the...
Stephen A. Stanhope, Jason M. Daida
GECCO
2000
Springer
121views Optimization» more  GECCO 2000»
13 years 10 months ago
Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models
In this paper we describe a method for improving genetic-algorithm-based optimization using informed genetic operators. The idea is to make the genetic operators such as mutation ...
Khaled Rasheed, Haym Hirsh