TY - JOUR
T1 - ETPT
T2 - A data fusion based topology prediction of transmembrane
AU - Li, Meizhu
AU - Deng, Xinyang
AU - Deng, Yong
PY - 2014/2/10
Y1 - 2014/2/10
N2 - ETPT (Evidential Topology Prediction of Transmembrane) is a new algorithm for topology prediction of transmembrane based on data fusion technique. In this paper, we present the implementation of ETPT as a software. When protein sequence is input into the text area, the related data will be sent to the website. Next, the prediction results of five individual prediction algorithms can be obtained. After fusing the above algorithms' prediction results based on Dempster's rule of combination, the final prediction result can be constructed. During the process, the F-scores are regarded as the determination of Basic Probability Assignment (BPA). The result demonstrates that the software is convenient and effective.
AB - ETPT (Evidential Topology Prediction of Transmembrane) is a new algorithm for topology prediction of transmembrane based on data fusion technique. In this paper, we present the implementation of ETPT as a software. When protein sequence is input into the text area, the related data will be sent to the website. Next, the prediction results of five individual prediction algorithms can be obtained. After fusing the above algorithms' prediction results based on Dempster's rule of combination, the final prediction result can be constructed. During the process, the F-scores are regarded as the determination of Basic Probability Assignment (BPA). The result demonstrates that the software is convenient and effective.
KW - Basic probability assignment
KW - Data fusion
KW - Dempster-shafer evidence theory
KW - Transmembrane proteins
UR - https://www.scopus.com/pages/publications/84897687837
U2 - 10.12733/jics20102903
DO - 10.12733/jics20102903
M3 - 文章
AN - SCOPUS:84897687837
SN - 1548-7741
VL - 11
SP - 945
EP - 952
JO - Journal of Information and Computational Science
JF - Journal of Information and Computational Science
IS - 3
ER -