SEQUENTIAL LINEAR NEIGHBORHOOD PROPAGATION FOR SEMI-SUPERVISED PROTEIN FUNCTION PREDICTION

CORC > 上海应用物理研究所 > 中国科学院上海应用物理研究所 > 中科院上海应用物理研究所2011-2017年

	SEQUENTIAL LINEAR NEIGHBORHOOD PROPAGATION FOR SEMI-SUPERVISED PROTEIN FUNCTION PREDICTION
	Wang, Jingyan（王靖琰） ; Li, Yongping（李勇平）
刊名	JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY
	2011
卷号	9 期号:6 页码:663
ISSN号	0219-7200
英文摘要	Predicting protein function is one of the most challenging problems of the post-genomic era. The development of experimental methods for genome scale analysis of molecular interaction networks has provided new approaches to inferring protein function. In this paper we introduce a new graph-based semi-supervised classification algorithm Sequential Linear Neighborhood Propagation (SLNP), which addresses the problem of the classification of partially labeled protein interaction networks. The proposed SLNP first constructs a sequence of node sets according to their shortest distance to the labeled nodes, and then predicts the function of the unlabel proteins from the set closer to labeled one, using Linear Neighborhood Propagation. Its performance is assessed on the Saccharomyces cerevisiae PPI network data sets, with good results compared with three current state-of-the-art algorithms, especially in settings where only a small fraction of the proteins are labeled.
收录类别	SCI
语种	英语
WOS记录号	WOS:000297096300002
公开日期	2012-07-04
内容类型	期刊论文
源URL	[http://ir.sinap.ac.cn/handle/331007/9584]
专题	上海应用物理研究所_中科院上海应用物理研究所2011-2017年
推荐引用方式 GB/T 7714	Wang, Jingyan,Li, Yongping. SEQUENTIAL LINEAR NEIGHBORHOOD PROPAGATION FOR SEMI-SUPERVISED PROTEIN FUNCTION PREDICTION[J]. JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY,2011,9(6):663.
APA	Wang, Jingyan,&Li, Yongping.(2011).SEQUENTIAL LINEAR NEIGHBORHOOD PROPAGATION FOR SEMI-SUPERVISED PROTEIN FUNCTION PREDICTION.JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY,9(6),663.
MLA	Wang, Jingyan,et al."SEQUENTIAL LINEAR NEIGHBORHOOD PROPAGATION FOR SEMI-SUPERVISED PROTEIN FUNCTION PREDICTION".JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY 9.6(2011):663.