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Wavelet Transform for Predicting Apoptosis Proteins Subcellular Location 被引量：1

Wavelet Transform for Predicting Apoptosis Proteins Subcellular Location
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摘要 Apoptosis proteins have a central role in the develop- ment and homeostasis of an organism, and their function is related to their types. In this paper, we constructed the character vectors of apoptosis proteins from their amino acid sequences by using the discrete wavelet transform, combined with support vector machine, to predict the type of given apoptosis proteins. For the widely used dataset z98, high success rates were obtained by Jackknife test, and the Matthews correlation coefficients were 0.92, 0.90, 0.81 and 0.80, respectively, which were higher than the other methods on average. Apoptosis proteins have a central role in the develop- ment and homeostasis of an organism, and their function is related to their types. In this paper, we constructed the character vectors of apoptosis proteins from their amino acid sequences by using the discrete wavelet transform, combined with support vector machine, to predict the type of given apoptosis proteins. For the widely used dataset z98, high success rates were obtained by Jackknife test, and the Matthews correlation coefficients were 0.92, 0.90, 0.81 and 0.80, respectively, which were higher than the other methods on average.
作者 SONG Chaohong, SHI Feng College of Science, Huazhong Agricultural University, Wuhan430070, Hubei, China
出处 《Wuhan University Journal of Natural Sciences》 CAS 2010年第2期103-108,共6页 武汉大学学报（自然科学英文版）
基金 Supported by the National High Technology Research and Development Program of China (863 Program) (2006AA102108) the Youth Fund of College of Science, Huazhong Agriculture University Research Launching Funds (06033)
关键词 wavelet transform support vector machine subcellular location wavelet transform support vector machine subcellular location
分类号 Q332 [生物学—遗传学]
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参考文献19

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同被引文献38

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二级引证文献1

Wuhan University Journal of Natural Sciences
2010年 第2期

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