GameTag: A New Sequence Tag Generation Algorithm Based on Cooperative Game Theory
Fei, Zhengcong1,2; Wang, Kaifei1,2; Chi, Hao1,2
刊名PROTEOMICS
2020-09-30
页码9
关键词cooperative game deep learning proteomics sequence tag generation
ISSN号1615-9853
DOI10.1002/pmic.202000021
英文摘要Sequence tag-based peptide search is a critical technology in proteomics for the characterization of proteins from tandem mass spectrometry data. However, the main reason for hindering the full application of such an approach lies that accurately extracting sequence tags responsible for each experimental spectrum. Toward that end, GameTag, a novel cooperative game framework for sequence tag generation is proposed, which includes a tag generator and a tag discriminator to collaboratively generate sequence tags. Specifically, the tag generator works to extract as many correct tag candidates as possible and the tag discriminator serves to determine the correctness of tag candidates and reduce the total number of output tags simultaneously. Through the dynamic two-player game, the number of extracted tags is decreased while the number of correct tags gets boosted. The performance of the proposed method is also investigated under various hyperparameter and structure settings. Extensive experiments on a wide variety of data sets from different species demonstrate that GameTag outperforms previous state-of-the-art methods, InsPecT, PepNovo+, DirecTag, and the existing tag-extraction method in Open-pFind, increasing by at least 10% the number of spectra extracted more than one correct tag.
资助项目National Key Research and Development Program of China[2016YFA0501300] ; Youth Innovation Promotion Association CAS[2016091]
WOS研究方向Biochemistry & Molecular Biology
语种英语
出版者WILEY
WOS记录号WOS:000573853300001
内容类型期刊论文
源URL[http://119.78.100.204/handle/2XEOYT63/15612]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chi, Hao
作者单位1.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, 6 Zhongguancun South Rd, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Fei, Zhengcong,Wang, Kaifei,Chi, Hao. GameTag: A New Sequence Tag Generation Algorithm Based on Cooperative Game Theory[J]. PROTEOMICS,2020:9.
APA Fei, Zhengcong,Wang, Kaifei,&Chi, Hao.(2020).GameTag: A New Sequence Tag Generation Algorithm Based on Cooperative Game Theory.PROTEOMICS,9.
MLA Fei, Zhengcong,et al."GameTag: A New Sequence Tag Generation Algorithm Based on Cooperative Game Theory".PROTEOMICS (2020):9.
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