会议论文

Tian, Tianhai

英文

PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)

2156-1125

2018

2174-2181

IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Human Genomics

IEEE International Conference on Bioinformatics and Biomedicine-BIBM

DEC 03-06, 2018

Madrid, SPAIN

[Yan, Yan;Wei, Jiangyong] Zhongnan Univ Econ & Law, Sch Math & Stat, Wuhan 430073, Hubei, Peoples R China.^[Hu, Xiaohua] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.^[Tian, Tianhai] Monash Univ, Sch Math Sci, Melbourne, Vic 3800, Australia.

Ulster Univ, Univ Granada, Univ Carlos III Madrid, TCCLS, IEEE, IEEE Comp Soc, Natl Sci Fdn, Syst Med, Mary Ann Liebert Inc publishers

Zheng, H Callejas, Z Griol, D Wang, H Hu, X Schmidt, H Baumbach, J Dickerson, J Zhang, L

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5386-5488-0

10.1109/BIBM.2018.8621548

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11571368]

本校为其他机构

The advances in proteomic technologies have offered an unprecedented opportunity and valuable resources to reveal molecular targets for treatment. Although a number of approaches have been designed to develop mathematical models using the time series proteomic profiles, the recently published single-patient proteomic data raised substantial challenges for analysing these non-time series datasets. To address this issue, this work proposes the first attempt for designing mathematical models using the non-time series proteomic data. Using the triple-negative breast cancer (TNBC) as the test syste...