{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1360004232012201344.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1016/j.biosystems.2016.05.003"}},{"identifier":{"@type":"URI","@value":"https://api.elsevier.com/content/article/PII:S0303264716300557?httpAccept=text/xml"}},{"identifier":{"@type":"URI","@value":"https://api.elsevier.com/content/article/PII:S0303264716300557?httpAccept=text/plain"}},{"identifier":{"@type":"PMID","@value":"27164307"}}],"resourceType":"学術雑誌論文(journal article)","dc:title":[{"@value":"Predicting link directionality in gene regulation from gene expression profiles using volatility-constrained correlation"}],"description":[{"notation":[{"@value":"To uncover potential disease molecular pathways and signaling networks, we do not only need undirected maps but also we need to infer the directionality of functional or physical interactions between cellular components. A wide range of methods for identifying functional interactions between genes relies on correlations between experimental gene expression measurements to some extent. However, the standard Pearson or Spearman correlation-based approaches can only determine undirected correlations between cellular components. Here, we apply a volatility-constrained correlation method for gene expression profiles that offers a new metric to capture directionality of interactions between genes. To evaluate the predictions we used four datasets distributed by the DREAM5 network inference challenge including an in silico-constructed network and three organisms such as S. aureus, E. coli and S. cerevisiae. The predictions performed by our proposed method were compared to a gold standard of experimentally verified directionality of genetic regulatory links. Our findings show that our method successfully predicts the genetic interaction directionality with a success rate higher than 0.5 with high statistical significance."}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1380004232012201345","@type":"Researcher","foaf:name":[{"@value":"Tomoshiro Ochiai"}]},{"@id":"https://cir.nii.ac.jp/crid/1380004232012201344","@type":"Researcher","foaf:name":[{"@value":"Jose C. Nacher"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"03032647"}],"prism:publicationName":[{"@value":"Biosystems"}],"dc:publisher":[{"@value":"Elsevier BV"}],"prism:publicationDate":"2016-07","prism:volume":"145","prism:startingPage":"9","prism:endingPage":"18"},"reviewed":"false","dc:rights":["https://www.elsevier.com/tdm/userlicense/1.0/"],"url":[{"@id":"https://api.elsevier.com/content/article/PII:S0303264716300557?httpAccept=text/xml"},{"@id":"https://api.elsevier.com/content/article/PII:S0303264716300557?httpAccept=text/plain"}],"createdAt":"2016-05-07","modifiedAt":"2019-09-07","foaf:topic":[{"@id":"https://cir.nii.ac.jp/all?q=Staphylococcus%20aureus","dc:title":"Staphylococcus aureus"},{"@id":"https://cir.nii.ac.jp/all?q=Gene%20Expression%20Profiling","dc:title":"Gene Expression Profiling"},{"@id":"https://cir.nii.ac.jp/all?q=Escherichia%20coli","dc:title":"Escherichia coli"},{"@id":"https://cir.nii.ac.jp/all?q=Gene%20Regulatory%20Networks","dc:title":"Gene Regulatory Networks"},{"@id":"https://cir.nii.ac.jp/all?q=Saccharomyces%20cerevisiae","dc:title":"Saccharomyces cerevisiae"},{"@id":"https://cir.nii.ac.jp/all?q=Volatilization","dc:title":"Volatilization"},{"@id":"https://cir.nii.ac.jp/all?q=Forecasting","dc:title":"Forecasting"}],"project":[{"@id":"https://cir.nii.ac.jp/crid/1040282256816193152","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"15K01200"},{"@type":"JGN","@value":"JP15K01200"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-15K01200/"}],"notation":[{"@language":"ja","@value":"金融市場の高頻度データ解析とリスク管理への応用"},{"@language":"en","@value":"High frequency data analysis of financial markets and its application to risk management"}]}],"relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360011142933831296","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Cluster analysis 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