Apoptosis proteins have a central role in the development 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.
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