@inproceedings{1969426f05164cf0b35561a5e02bcaa4,
title = "Essential Proteins Identification Based on Integrated Network",
abstract = "Identifying essential proteins is important for understanding cellular life and pathogenic mechanisms. In addition to experimental methods, many computing approaches have been employed to identify essential proteins. Many of these methods usually consider the topological structure of the protein-protein interaction network (PPIN). However, the fact that the PPIN includes many false negative interactions is ignored. In this paper, an integrated PPIN that considers protein interactions and gene co-expression is presented. With more false negative interactions being considered, more meaningful essential proteins can be identified on the integrated PPIN. To verify the performance of this method, an experiment is carried out on data from Saccharomyces cerevisiae. The results demonstrate that ITPPIN can identify essential proteins is more effective than PPIN.",
keywords = "Essential proteins, Gene co-expression, Integration, Protein-protein interaction network",
author = "Wen, \{Chang Gang\} and Liu, \{Jin Xing\} and Lei Qin and Juan Wang and Yun Fang",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 16th International Conference on Intelligent Computing, ICIC 2020 ; Conference date: 02-10-2020 Through 05-10-2020",
year = "2020",
doi = "10.1007/978-3-030-60799-9\_7",
language = "英语",
isbn = "9783030607982",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "81--91",
editor = "De-Shuang Huang and Vitoantonio Bevilacqua and Abir Hussain",
booktitle = "Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Proceedings",
}