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
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;
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
DOI :
10.1109/FBIE.2009.5405881
