상세정보
학술대회
Predictive Model for Protein Function Using Modular Neural Approach
- 발행일
- 200508
- 출처
- International Conference on Pattern Recognition and Image Analysis (ICAPR) 2005 (LNCS 3686), v.3686, pp.400-409
- 협약과제
- 05MF1300, 바이오 데이터 마이닝 및 통합관리 핵심 S/W 컴포넌트 개발, 박선희
- 초록
- As interest within bioinformatics has been vastly increased, efforts to predict functional role of proteins have been made using diverse approaches. In this paper, we discuss a protein function prediction method that utilizes protein molecular information including protein interaction data. The proposed method takes the given problem into account as a K-class classification problem and resolves the new problem by using a modular neural network based predictive approach. The simulation demonstrates that the proposed approach predicts the functional roles of Yeast proteins with unknown functional knowledge and is competitive to the other methodologies in KDD Cup 2001 competition. © Springer-Verlag Berlin Heidelberg 2005.
- KSP 제안 키워드
- Classification problems, Modular neural network, Molecular information, Predictive approach, Predictive model, Protein function prediction, Protein interaction data, functional role, prediction method