Skip to the content

Protein contact map prediction based on an ensemble learning method

Habibi, NK and Saraee, M 2009, Protein contact map prediction based on an ensemble learning method , in: International Conference on Computer Engineering and Technology (ICCET 2009),, 22-24 Jan. 2009, Singapore.

[img] PDF - Published Version
Restricted to Repository staff only

Download (179kB) | Request a copy

Abstract

Contact map is the simplified, 2D representation of protein spatial structure. Contact map prediction is an intermediate step to predict protein 3D structure. Ensemble learning-based model is a collection of learners that is more accurate than a single learner. In this paper we propose an ensemble learning method for contact map prediction. Results show that a considerable performance improvement is attainable using this approach instead of using a single model.

Item Type: Conference or Workshop Item (Paper)
Themes: Health and Wellbeing
Schools: Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
Journal or Publication Title: Proceedings of International Conference on Computer Engineering and Technology, 2009. ICCET '09.
Publisher: IEEE
Refereed: Yes
Depositing User: Dr Mo Saraee
Date Deposited: 04 Nov 2011 11:16
Last Modified: 20 Aug 2013 17:17
URI: http://usir.salford.ac.uk/id/eprint/18855

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)

Downloads

Downloads per month over past year