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Adaptive modelling of gene regulatory network using Bayesian information criterion-guided sparse regression approach
Shi, Ming; Shen, Weiming; Wang, Hong-Qiang; Chong, Yanwen
刊名IET SYSTEMS BIOLOGY
2016
卷号10期号:6
关键词genetics Bayes methods genomics regression analysis inference mechanisms bioinformatics adaptive modelling gene regulatory network Bayesian information criterion-guided sparse regression approach GRN microarray expression data systems biology GRN reconstruction optimisation l(1)-norm regularisation
ISSN号1751-8849
DOI10.1049/iet-syb.2016.0005
URL标识查看原文
收录类别SCIE
语种英语
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4096286
专题武汉大学
推荐引用方式
GB/T 7714
Shi, Ming,Shen, Weiming,Wang, Hong-Qiang,et al. Adaptive modelling of gene regulatory network using Bayesian information criterion-guided sparse regression approach[J]. IET SYSTEMS BIOLOGY,2016,10(6).
APA Shi, Ming,Shen, Weiming,Wang, Hong-Qiang,&Chong, Yanwen.(2016).Adaptive modelling of gene regulatory network using Bayesian information criterion-guided sparse regression approach.IET SYSTEMS BIOLOGY,10(6).
MLA Shi, Ming,et al."Adaptive modelling of gene regulatory network using Bayesian information criterion-guided sparse regression approach".IET SYSTEMS BIOLOGY 10.6(2016).
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