CAS OpenIR  > 中科院上海应用物理研究所2011-2019年
SEQUENTIAL LINEAR NEIGHBORHOOD PROPAGATION FOR SEMI-SUPERVISED PROTEIN FUNCTION PREDICTION
Wang, Jingyan(王靖琰); Li, Yongping(李勇平)
2011
Source PublicationJOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY
ISSN0219-7200
Volume9Issue:6Pages:663
AbstractPredicting 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.
Indexed BySCI
Language英语
Funding Project应物所项目组
WOS IDWOS:000297096300002
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sinap.ac.cn/handle/331007/9584
Collection中科院上海应用物理研究所2011-2019年
Recommended Citation
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.
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