DocumentCode
2547529
Title
Protein Contact Map Prediction Based on an Ensemble Learning Method
Author
Habibi, Narjes Khatoon ; Saraee, Mohammad Hossein
Author_Institution
Dept. of Electr. & Comput. Eng. Isfahan, Univ. of Technol. Isfahan, Isfahan
Volume
2
fYear
2009
fDate
22-24 Jan. 2009
Firstpage
205
Lastpage
209
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.
Keywords
biology computing; learning (artificial intelligence); proteins; 2D representation; ensemble learning; performance improvement; protein 3D structure; protein contact map prediction; protein spatial structure; Bioinformatics; Contacts; Data engineering; Database systems; Genetic mutations; Learning systems; Machine learning; Neural networks; Protein engineering; Protein sequence; Bioinformatic; contact map prediction; ensemble learning; neural network; protein tructure prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-3334-6
Type
conf
DOI
10.1109/ICCET.2009.58
Filename
4769589
Link To Document