Abstract:Essential proteins have extremely important role in disease diagnosis and drug development. Many methods have been devoted to the essential protein prediction by using some kinds of biological information. However, they either ignore the noise presented in the biological information itself or the noise generated during feature extraction. To overcome these problems, in this paper, we propose a novel method for predicting essential proteins called AG-GATCN. In AG-GATCN method, we use improved temporal convoluti… Show more
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