Abstract
Transmembrane proteins are the primary targets for the development of new drugs, and a number of algorithms that predict transmembrane topology are publicly available on the Web. In this paper, we present a novel approach using both SVM and HMM methods and we demonstrate that our system outperform the previous systems which only use either HMM methods or SVM methods alone. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Kim, M. K., Song, C. H., Yoo, S. J., Lee, S. H., & Park, H. S. (2005). A hybrid approach to combine HMM and SVM methods for the prediction of the transmembrane spanning region. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 792–798). Springer Verlag. https://doi.org/10.1007/11553939_112
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