• Multi-objective evolutionary p...

Result: Multi-objective evolutionary probe design based on thermodynamic criteria for HPV detection

Title:
Multi-objective evolutionary probe design based on thermodynamic criteria for HPV detection
Authors:
LEE, In-Hee, KIM, Sun, ZHANG, Byoung-Tak
Source:
Trends in artificial intelligence (Auckland, 9-13 August 2004)Lecture notes in computer science. :742-750
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 9 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Programmation mathématique, Mathematical programming, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Résolution de problèmes, jeux, Problem solving, game playing, Papillomavirus, Papovaviridae, Virus, Algorithme génétique, Genetic algorithm, Algoritmo genético, Bioinformatique, Bioinformatics, Bioinformática, Calcul évolutionniste, Evolutionary computation, Optimisation, Optimization, Optimización, Papillomavirus humain, Human papillomavirus, Programmation mathématique, Mathematical programming, Programación matemática, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Puce à DNA, DNA chip, Pulga de DNA, Thermodynamique, Thermodynamics, Termodinámica, Calcul moléculaire, Molecular computation, Càlculo molecular
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Biointelligence Laboratory, School of Computer Science and Engineering, Seoul National University, Seoul 151-742, Korea, Republic of
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=16367469
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Operational research. Management
Accession Number:
edscal.16367469
Database:
PASCAL Archive

Further Information

DNA microarrays are widely used techniques in molecular biology and DNA computing area. It consists of the DNA sequences called probes, which are DNA complementaries to the genes of interest, on solid surfaces. And its reliability seriously depends on the quality of the probe sequences. Therefore, one must carefully choose the probe sets in target sequences. In this paper, the probe design for DNA microarrays is formulated as the multi-objective optimization problem. We propose a multi-objective evolutionary approach, which is known to be suitable for this kind of optimization problem. Since a multi-objective evolutionary algorithm can find multiple solutions at a time, we used thermodynamic criteria to choose the most suitable one. For the experiments, the probe set generated by the proposed method is compared to the sequences used in commercial microarrays, which detects a set of Human Papillomavirus (HPV). The comparison result supports that our approach can be useful to optimize probe sequences.