Title :
Feature identification and reduction for improved generalization accuracy in secondary-structure prediction
Author :
Seeley, Matt ; Clement, M. ; Snell, Quinn
Author_Institution :
Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
Abstract :
Secondary structure prediction is an important step in understanding gene function. Several algorithms have been proposed for applying machine learning techniques to this problem. This research examines these algorithms and constructs a framework that is effective in providing accurate predictions.
Keywords :
bioinformatics; data analysis; feature extraction; generalisation (artificial intelligence); genetics; learning (artificial intelligence); proteins; feature identification; feature reduction; gene function understanding; generalization accuracy; machine learning technique; secondary-structure prediction; Accuracy; Amino acids; Measurement; Neural networks; Prediction algorithms; Predictive models; Proteins;
Conference_Titel :
Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on
Conference_Location :
Chania
DOI :
10.1109/BIBE.2013.6701610
