FunlncModel: integrating multi-omic features from upstream and downstream regulatory networks into a machine learning framework to identify functional lncRNAs

CAS OpenIR > 2024年度论文

	FunlncModel: integrating multi-omic features from upstream and downstream regulatory networks into a machine learning framework to identify functional lncRNAs
发表期刊	BRIEFINGS IN BIOINFORMATICS
	2024-11
卷号	26 期号:1
	Li, Yan-Yu; Qian, Feng-Cui; Zhang, Guo-Rui; Li, Xue-Cang; Zhou, Li-Wei; Yu, Zheng-Min; Liu, Wei; Wang, Qiu-Yu; Li, Chun-Quan
关键词	LONG NONCODING RNA STEM-CELLS PROSTATE-CANCER WEB SERVER PLURIPOTENCY DIFFERENTIATION ASSOCIATION ACETYLATION KNOWLEDGE DATABASE
文献类型	期刊论文
条目标识符	http://ir.ioz.ac.cn/handle/000000/16264
专题	2024年度论文
推荐引用方式 GB/T 7714	Li, Yan-Yu,Qian, Feng-Cui,Zhang, Guo-Rui,et al. FunlncModel: integrating multi-omic features from upstream and downstream regulatory networks into a machine learning framework to identify functional lncRNAs[J]. BRIEFINGS IN BIOINFORMATICS,2024,26(1).
APA	Li, Yan-Yu.,Qian, Feng-Cui.,Zhang, Guo-Rui.,Li, Xue-Cang.,Zhou, Li-Wei.,...&Li, Chun-Quan.(2024).FunlncModel: integrating multi-omic features from upstream and downstream regulatory networks into a machine learning framework to identify functional lncRNAs.BRIEFINGS IN BIOINFORMATICS,26(1).
MLA	Li, Yan-Yu,et al."FunlncModel: integrating multi-omic features from upstream and downstream regulatory networks into a machine learning framework to identify functional lncRNAs".BRIEFINGS IN BIOINFORMATICS 26.1(2024).