摘要
Apoptosis proteins play an important role in the development and homeostasis of an organism. The elucidation of the subcellular locations and functions of these proteins is helpful for understanding the mechanism of programmed cell death. In this paper, the recurrent quantification analysis, Hilbert-Huang transform methods, the maximum relevance and minimum redundancy method and support vector machine are used to predict the subcellular location of apoptosis proteins. The validation of the jackknife test suggests that the proposed method can improve the prediction accuracy of the subcellular location of apoptosis proteins and its application may be promising in other fields.
Apoptosis proteins play an important role in the development and homeostasis of an organism. The elucidation of the subcellular locations and functions of these proteins is helpful for understanding the mechanism of programmed cell death. In this paper, the recurrent quantification analysis, Hilbert-Huang transform methods, the maximum relevance and minimum redundancy method and support vector machine are used to predict the subcellular location of apoptosis proteins. The validation of the jackknife test suggests that the proposed method can improve the prediction accuracy of the subcellular location of apoptosis proteins and its application may be promising in other fields.
基金
supported by the National Natural Science Foundation of China (Grant No. 11071282)
the Chinese Program for New Century Excellent Talents in University (Grant No. NCET-08-06867)
the Natural Science Foundation of Hunan Province of China(Grant No. 10JJ7001)
the Lotus Scholars Program of Hunan Province of China
the Aid Program for Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province of China
the Australian Research Council (GrantNo. DP0559807)
the Postgraduate Research and Innovation Project of Hunan Province of China (Grant No. CX2010B243)
