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dc.creatorRacz, Anita
dc.creatorAndrić, Filip
dc.creatorBajusz, David
dc.creatorHéberger, Karoly
dc.date.accessioned2019-05-27T14:51:29Z
dc.date.available2019-05-27T14:51:29Z
dc.date.issued2018
dc.identifier.issn1573-3882
dc.identifier.urihttp://cherry.chem.bg.ac.rs/handle/123456789/3041
dc.publisherSpringer, New York
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/172017/RS//
dc.relationSerbian Academy of Sciences and Arts [HF-2016, NKM-74/2017]
dc.relationNational Research, Development and Innovation Office of Hungary [K 119269, KH_17 125608]
dc.relationHungarian Academy of Sciences
dc.rightsopenAccess
dc.sourceMetabolomics
dc.subjectPlant metabolomicsen
dc.subjectQualitative metabolomic dataen
dc.subjectBinary similarity measuresen
dc.subjectFingerprint analysisen
dc.titleSupplementary data for the article: Rácz, A.; Andrić, F.; Bajusz, D.; Héberger, K. Binary Similarity Measures for Fingerprint Analysis of Qualitative Metabolomic Profiles. Metabolomics 2018, 14 (3). https://doi.org/10.1007/s11306-018-1327-yen
dc.typeother
dc.rights.licenseBY
dcterms.abstractРацз, Aнита; Хебергер, Каролy; Aндрић, Филип; Бајусз, Давид;
dc.citation.other14(3): 29
dc.identifier.pmid29568246
dc.description.otherSupplementary material for: [https://doi.org/10.1007/s11306-018-1327-y]
dc.description.otherRelated to published version: [http://cherry.chem.bg.ac.rs/handle/123456789/2101]
dc.type.versionpublishedVersion
dc.identifier.fulltexthttp://cherry.chem.bg.ac.rs/bitstream/id/7230/11306_2018_1327_MOESM1_ESM.pdf
dc.identifier.rcubKon_3432


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