Choquet integral algorithm for T-cell epitope prediction based on fuzzy measure | IEEE Conference Publication | IEEE Xplore
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Choquet integral algorithm for T-cell epitope prediction based on fuzzy measure

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Ya-Li Hsiao; Po-Fon Chen; Cheng-Fang Tsai; Hsiang-Chuan Liu; Pei-Chun Chang
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Abstract:

Epitope is an antigen segment which is recognized by the immune system specifically and induces immune response. To accurately predict epitopes is essential in vaccine de...Show More

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Abstract:

Epitope is an antigen segment which is recognized by the immune system specifically and induces immune response. To accurately predict epitopes is essential in vaccine design that is one goal of immunoinformatics. In this study, we consider the coupling effects of physicochemical properties in an amino acid with fuzzy theory to improve the prediction accuracy.
Published in: 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
Date of Conference: 26-28 July 2011
Date Added to IEEE Xplore: 15 September 2011
ISBN Information:
DOI: 10.1109/FSKD.2011.6019854
Conference Location: Shanghai, China
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