Title :
Poster: A neighbor-weighted K-nearest neighbor method for predicting protein subnuclear localizations
Author :
Hu, Jing ; Schilder, Marc ; Yan, Xianghe
Author_Institution :
Dept. of Math. & Comput. Sci., Franklin & Marshall Coll., Lancaster, PA, USA
Abstract :
In this study, we have developed a neighbor-weighted K-nearest neighbor (K-NN) method for predicting subnuclear localizations of proteins.
Keywords :
bioinformatics; cellular biophysics; molecular biophysics; proteins; K-nearest neighbor method; protein subnuclear localizations; Amino acids; Bioinformatics; Nearest neighbor searches; Proteins; Support vector machines; Training; USA Councils; neighbor-weighted K-nearest neighbor algorithm; subnuclear localization; weighted Manhattan Distance;
Conference_Titel :
Computational Advances in Bio and Medical Sciences (ICCABS), 2011 IEEE 1st International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-851-8
DOI :
10.1109/ICCABS.2011.5729900
