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张宪超
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教授   博士生导师   硕士生导师

主要任职: 国防(先进)科学技术发展研究院副院长

性别: 男

毕业院校: 中国科技大学

学位: 博士

在职信息:在职

所在单位: 软件学院

学科: 计算机应用技术 软件工程

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Protein Complexes Detection Based on Deep Neural Network

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论文类型: 会议论文

第一作者: Zhang, Xianchao

合写作者: Gao, Peixu,Sun, Maohua,Zong, Linlin,Xu, Bo

发表时间: 2019-04-14

收录刊物: EI

卷号: 11607 LNAI

页面范围: 164-178

摘要: Protein complexes play an important role for scientists to explore the secrets of cell and life. Most of the existing protein complexes detection methods utilize traditional clustering algorithms on protein-protein interaction (PPI) networks. However, due to the complexity of the network structure, traditional clustering methods cannot capture the network information effectively. Therefore, how to extract information from high-dimensional networks has become a challenge. In this paper, we propose a novel protein complexes detection method called DANE, which uses a deep neural network to maintain the primary information. Furthermore, we use a deep autoencoder framework to implement the embedding process, which preserves the network structure and the additional biological information. Then, we use the clustering method based on the core-attachment principle to get the prediction result. The experiments on six yeast datasets with five other detection methods show that our method gets better performance. ? 2019, Springer Nature Switzerland AG.

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