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1. Using Improved K-nearest Neighbor Method to Identify Anti- and Pro-apoptosis Proteins CPCI-S 会议论文 认领

作者:Yan, ZH;Chen, YL;Zhao, JT

作者全称:Yan, Zhen-He;Chen, Ying-Li;Zhao, Jin-Tao

作者机构:[Yan, Zhen-He; Chen, Ying-Li; Zhao, Jin-Tao] Inner Mongolia Univ, Sch Phys Sci & Technol, Lab Theoret Biophys, Hohhot, Peoples R China.

第一作者:Yan, Zhen-He

通讯作者:Chen, YL

通讯作者地址:Chen, YL (reprint author), Inner Mongolia Univ, Sch Phys Sci & Technol, Lab Theoret Biophys, Hohhot, Peoples R China.

会议名称:8th International Conference on BioMedical Engineering and Informatics; (BMEI)

会议日期:OCT 14-16, 2015

来源:2015 8TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND/ INFORMATICS (BMEI),2015

关键词:anti-apoptosis; pro-apoptosis; k-nearest neighbor; mean value k-nearest; neighbor

摘要:Since the apoptosis protein plays an important role in understanding the mechanism of programmed cell death, so further to reveal the mechanism of sub 更多

2. Prediction of the anti-apoptosis and pro-apoptosis proteins based on domain and motif information SCIE CPCI-S 会议论文 认领

作者:Chen, YL;Zhao, JT

作者全称:Chen, Y-L.;Zhao, J-T.

作者机构:[Chen, Y-L.; Zhao, J-T.] Inner Mongolia Univ, Sch Phys Sci & Technol, Hohhot, Peoples R China.

第一作者:Chen, Y-L.

会议名称:19th IUPAB Congress / 11th EBSA Congress

会议日期:JUL 16-20, 2017

来源:EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS,2017,Vol.46

基金:National Natural Science Foundation of China [61361015]

JCR分区:BIOPHYSICS为Q3

中科院分区:大类生物3区;小类生物物理4区

(JCR)当年影响因子:1.935

(JCR)5年影响因子:1.637

ESI学科:BIOLOGY & BIOCHEMISTRY

关键词:apoptosis; domain; SVM algorithm

更新时间:Mar 28, 2019
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