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 |
DOI | 10.1049/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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