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	Prediction of key transcription factors during skin regeneration by combining gene expression data and regulatory network information analysis
	Huang, Ping; Ge, Peng; Tian, Qing-Fen; Huang, Guo-Bao
刊名	INTERNATIONAL JOURNAL OF BIOMATHEMATICS
	2019
卷号	12期号:3
关键词	Burn regenerative medicine transcription factor biological computational approach influence degree
DOI	10.1142/S1793524519500244
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4546409
专题	山东大学
作者单位	1.Shandong Univ, Jinan Cent Hosp, Med Lab Diagnost Ctr, Jinan 250013, Shandong, Peoples R China. 2.Peoples Hosp Zhangqiu Area,
推荐引用方式 GB/T 7714	Huang, Ping,Ge, Peng,Tian, Qing-Fen,et al. Prediction of key transcription factors during skin regeneration by combining gene expression data and regulatory network information analysis[J]. INTERNATIONAL JOURNAL OF BIOMATHEMATICS,2019,12(3).
APA	Huang, Ping,Ge, Peng,Tian, Qing-Fen,&Huang, Guo-Bao.(2019).Prediction of key transcription factors during skin regeneration by combining gene expression data and regulatory network information analysis.INTERNATIONAL JOURNAL OF BIOMATHEMATICS,12(3).
MLA	Huang, Ping,et al."Prediction of key transcription factors during skin regeneration by combining gene expression data and regulatory network information analysis".INTERNATIONAL JOURNAL OF BIOMATHEMATICS 12.3(2019).

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