Title
Comparison of Permutation-Based and Binary Representation in a Genetic Algorithm for RNA Secondary Structure Prediction
Abstract
RNA is an important molecule as it serves a key role in the translation from the genetic information encoded in DNA in protein synthesis. Computational techniques for RNA folding suffer from combinatorial explosion. In this paper, a genetic algorithm (GA) will be used to attempt to solve the secondary structure prediction of RNA molecules.
Year
DOI
Venue
2004
10.1007/978-3-540-24840-8_53
ADVANCES IN ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
genetics,protein synthesis,genetic algorithm
RNA,Computer science,Permutation,Protein biosynthesis,Algorithm,DNA,Travelling salesman problem,Protein secondary structure,Combinatorial explosion,Genetic algorithm
Conference
Volume
ISSN
Citations 
3060.0
0302-9743
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Alain Deschênes1534.23
Kay C. Wiese216419.10
Edward Glen3454.20