DocumentCode
3379575
Title
Subcellular location of apoptosis proteins based on chaos game representation
Author
Song, Chaohong ; Shi, Feng
Author_Institution
Coll. of Sci., Huazhong Agric. Univ., Wuhan, China
fYear
2009
fDate
13-14 Dec. 2009
Firstpage
194
Lastpage
196
Abstract
Based on the chaos game representation of protein sequences, a new method to predict the subcellular location of apoptosis protein sequences was put forward. Using of Support Vector Machine,and tested on a known dataset which includes 317 apoptosis proteins, the higher predictive success rates were obtained. Our prediction results showed that the chaos game representation of protein sequences were very useful for predicting subcellular location of apoptosis proteins.
Keywords
biology computing; proteins; support vector machines; apoptosis proteins; chaos game representation; protein sequences; subcellular location; support vector machine; Agricultural engineering; Amino acids; Automatic testing; Biological materials; Biomedical engineering; Chaos; Organisms; Protein engineering; Protein sequence; Support vector machines; Apoptosis protein; Chaos game representation; Subcellular location; Support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
BioMedical Information Engineering, 2009. FBIE 2009. International Conference on Future
Conference_Location
Sanya
Print_ISBN
978-1-4244-4690-2
Electronic_ISBN
978-1-4244-4692-6
Type
conf
DOI
10.1109/FBIE.2009.5405881
Filename
5405881
Link To Document