Lee, Nung Kion and Fong, Pui Kwan and Mohd Tajuddin, Abdullah (2014) Modelling complex features from histone modification signatures using genetic algorithm for the prediction of enhancer region. Bio-Medical Materials and Engineering, 24 (6). pp. 3807-3814. ISSN 0959-2989
PDF
Lee Nung Kion.pdf Download (419kB) |
Abstract
Using Genetic Algorithm, this paper presents a modelling method to generate novel logical-based features from DNA sequences enriched with H3K4mel histone signatures. Current histone signature is mostly represented using k-mers content features incapable of representing all the possible complex interactions of various DNA segments. The main contributions are, among others: (a) demonstrating that there are complex interactions among sequence segments in the histone regions; (b) developing a parse tree representation of the logical complex features. The proposed novel feature is compared to the k-mers content features using datasets from the mouse (mm9) genome. Evaluation results show that the new feature improves the prediction performance as shown by f-measure for all datasets tested. Also, it is discovered that treebased features generated from a single chromosome can be generalized to predict histone marks in other chromosomes not used in the training. These findings have a great impact on feature design considerations for histone signatures as well as other classifier design features.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Genetic algorithm, tree-based feature, histone feature, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development Faculties, Institutes, Centres > Faculty of Cognitive Sciences and Human Development Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development |
Depositing User: | Gani |
Date Deposited: | 07 Aug 2020 08:12 |
Last Modified: | 26 Jan 2022 01:53 |
URI: | http://ir.unimas.my/id/eprint/31049 |
Actions (For repository members only: login required)
View Item |