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Inference of genetic regulatory network for stem cell using single cells expression data

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成果类型:
期刊论文、会议论文
作者:
Wei, Jiangyong*;Hu, Xiaohua;Zou, Xiufen;Tian, Tianhai
通讯作者:
Wei, Jiangyong
作者机构:
[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.
[Zou, Xiufen] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China.
[Tian, Tianhai] Monash Univ, Sch Math Sci, Melbourne, Vic 3800, Australia.
通讯机构:
[Wei, Jiangyong] Z
Zhongnan Univ Econ & Law, Sch Math & Stat, Wuhan 430073, Hubei, Peoples R China.
语种:
英文
关键词:
gene regulatory network;single cell data;network inference;stem cell
期刊:
2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
ISSN:
2156-1125
年:
2017
页码:
217-222
会议名称:
IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM)
会议论文集名称:
IEEE International Conference on Bioinformatics and Biomedicine-BIBM
会议时间:
DEC 15-18, 2016
会议地点:
Shenzhen, PEOPLES R CHINA
会议主办单位:
[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.^[Zou, Xiufen] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China.^[Tian, Tianhai] Monash Univ, Sch Math Sci, Melbourne, Vic 3800, Australia.
会议赞助商:
IEEE, IEEE Comp Soc, Natl Sci Fdn, Harbin Inst Technol
主编:
Tian, T Jiang, Q Liu, Y Burrage, K Song, J Wang, Y Hu, X Morishita, S Zhu, Q Wang, G
出版地:
10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
出版者:
IEEE COMPUTER SOC
ISBN:
978-1-5090-1610-5
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11571368]
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
Single cell experimental studies provide an unprecedented opportunity to examine the heterogeneity of molecular processes in different cells. However, the reconstruction of a sequence of changes in molecular processes and development of regulatory networks using single cell data are still challenging problems in bioinformatics and systems biology. In this work we propose an integrated framework to infer genetic regulatory networks using single cell experimental data. We first use the Wanderlust algorithm to construct the pseudo-trajectory of ge...

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