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» Combining microarrays and genetic analysis
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BMCBI
2010
130views more  BMCBI 2010»
13 years 10 months ago
Knowledge-guided gene ranking by coordinative component analysis
Background: In cancer, gene networks and pathways often exhibit dynamic behavior, particularly during the process of carcinogenesis. Thus, it is important to prioritize those gene...
Chen Wang, Jianhua Xuan, Huai Li, Yue Wang, Ming Z...
BMCBI
2010
108views more  BMCBI 2010»
13 years 10 months ago
A genetic ensemble approach for gene-gene interaction identification
Background: It has now become clear that gene-gene interactions and gene-environment interactions are ubiquitous and fundamental mechanisms for the development of complex diseases...
Pengyi Yang, Joshua W. K. Ho, Albert Y. Zomaya, Bi...
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 4 months ago
A novel ab-initio genetic-based approach for protein folding prediction
In this paper, a model based on genetic algorithms for protein folding prediction is proposed. The most important features of the proposed approach are: i) Heuristic secondary str...
Sergio Raul Duarte Torres, David Camilo Becerra Ro...
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 4 months ago
A phenotypic analysis of GP-evolved team behaviours
This paper presents an approach to analyse the behaviours of teams of autonomous agents who work together to achieve a common goal. The agents in a team are evolved together using...
Darren Doherty, Colm O'Riordan
CEC
2005
IEEE
14 years 3 months ago
A hybrid approach to parameter tuning in genetic algorithms
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
Bo Yuan, Marcus Gallagher