Title
A New Approach to Detect Splice-Sites Based on Support Vector Machines and a Genetic Algorithm.
Abstract
This paper presents a method for classification of imbalanced splice-site classification problems, the proposed method consists of the generation of artificial instances that are incorporated to the dataset. Additionally, the method uses a genetic algorithm to introduce just instances that improve the performance. Experimental results show that the proposed algorithm obtains a better accuracy to detect splice-sites than other implementations on skewed data-sets. © Springer-Verlag 2013.
Year
DOI
Venue
2013
10.1007/978-3-642-41827-3_43
CIARP (2)
Keywords
Field
DocType
classification dna splice sites,skewed datasets,svm
Pattern recognition,Computer science,splice,Support vector machine,Implementation,Artificial intelligence,Genetic algorithm
Conference
Volume
Issue
ISSN
8259 LNCS
PART 2
16113349
Citations 
PageRank 
References 
0
0.34
8
Authors
4
Name
Order
Citations
PageRank
Jair Cervantes117618.08
De-Shuang Huang25532357.50
Xiaoou Li355061.95
Wen Yu400.34