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dc.creatorPerović, Vladimir R.
dc.creatorŠumonja, Neven
dc.creatorGemović, Branislava S.
dc.creatorToska, Eneda
dc.creatorRoberts, Stefan G. E.
dc.creatorVeljković, Nevena V.
dc.date.accessioned2018-03-01T17:28:16Z
dc.date.available2018-03-01T17:28:16Z
dc.date.issued2017
dc.identifier.issn1367-4803 (print)
dc.identifier.issn1460-2059 (electronic)
dc.identifier.urihttp://vinar.vin.bg.ac.rs/handle/123456789/1468
dc.description.abstractThe TRI_tool, a sequence-based web tool for prediction of protein interactions in the human transcriptional regulation, is intended for biomedical investigators who work on understanding the regulation of gene expression. It has an improved predictive performance due to the training on updated, human specific, experimentally validated datasets. The TRI_tool is designed to test up to 100 potential interactions with no time delay and to report both probabilities and binarized predictions.en
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/173001/RS//
dc.rightsrestrictedAccessen
dc.sourceBioinformaticsen
dc.titleTRI_tool: a web-tool for prediction of protein-protein interactions in human transcriptional regulationen
dc.typearticleen
dcterms.abstractТоска, Енеда; Перовић Владимир; Робертс, Стефан Г.; Шумоња Невен; Гемовић Бранислава; Вељковић Невена В.;
dc.citation.volume33
dc.citation.issue2
dc.citation.spage289
dc.citation.epage291
dc.identifier.wos000397093200021
dc.identifier.doi10.1093/bioinformatics/btw590
dc.identifier.pmid27605104
dc.identifier.scopus2-s2.0-85028334122


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