A genome-scale metabolic network alignment method within a hypergraph-based framework using a rotational tensor-vector product

scientific article published in Scientific Reports

A genome-scale metabolic network alignment method within a hypergraph-based framework using a rotational tensor-vector product is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1038/S41598-018-34692-1
P932PMC publication ID6219566
P698PubMed publication ID30401914

P50authorYimin WeiQ86810679
P2093author name stringYang Xu
Zhijie Liu
Zhen Chen
Zhengdong Zhang
Ruiyuan Li
Shen Liang
Yin Yi
Tie Shen
Xiaoyao Xie
Dagang Gu
P2860cites workHigh-quality binary protein interaction map of the yeast interactome networkQ24651397
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SubMAP: aligning metabolic pathways with subnetwork mappingsQ35070376
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Global network alignment using multiscale spectral signaturesQ36432222
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What do cells actually want?Q36929022
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A comparison of algorithms for the pairwise alignment of biological networksQ38209272
NETAL: a new graph-based method for global alignment of protein-protein interaction networks.Q38489945
Systematic identification of functional orthologs based on protein network comparisonQ43252162
Integrative network alignment reveals large regions of global network similarity in yeast and humanQ43467712
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Biological network comparison using graphlet degree distributionQ46609381
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P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue1
P407language of work or nameEnglishQ1860
P921main subjecthypergraphQ840247
metabolic networkQ2263094
P304page(s)16376
P577publication date2018-11-06
P1433published inScientific ReportsQ2261792
P1476titleA genome-scale metabolic network alignment method within a hypergraph-based framework using a rotational tensor-vector product
P478volume8

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