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Normalization techniques for univariate biostatistics analysis (Conference Paper)
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SYSNO ASEP 0491880 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Normalization techniques for univariate biostatistics analysis (Conference Paper) Tvůrce(i) Šedivá, Blanka (MBU-M) ORCID
Pelantová, Helena (MBU-M) ORCID, RID
Bugáňová, Martina (MBU-M)Zdroj.dok. 17th Conference on Applied Mathematics, APLIMAT 2018, Bratislava, Slovakia, 6 February 2018 through 8 February 2018, Code 135345. - Bratislava : Slovak University of Technology in Bratislava, 2018 - ISBN 978-802274765-3 Rozsah stran s. 925-932 Poč.str. 8 s. Forma vydání Tištěná - P Akce 17th Conference on Applied Mathematics, APLIMAT 2018, Bratislava, Slovakia, 6 February 2018 through 8 February 2018, Code 135345 Datum konání 06.02.2018 - 08.02.2018 Místo konání Bratislava Země SK - Slovensko Typ akce EUR Jazyk dok. eng - angličtina Země vyd. SK - Slovensko Klíč. slova Data normalization ; Metabolomics Preprocessing ; Simulation Vědní obor RIV EA - Morfologické obory a cytologie Obor OECD Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology CEP LO1509 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy Institucionální podpora MBU-M - RVO:61388971 EID SCOPUS 85048721445 Anotace The biostatistic processing of metabolomic data includes a number of mathematical and statistical methods. The series of preprocessing steps is necessary applied before application of the univariate or multivariate approaches for identifications of statistical significant factor. The goal of this article is using simulation Monte Carlo approach for analysis of influence of normalizations processes on the results of univariate statistical methods. In our study four methods of normalization are compared - normalization by the area under the curve (AUC), normalization to creatinine, quantile normalization and probabilistic quotient normalization (PQN). The results of simulation experiments studies have shown that PQN, quantile normalization and creatinine normalization are more robust than AUC normalization, especially in case a small number of metabolites with a large fold change is presented. From a practical point of view PQN method is recomended as the robust normalization procedure with the broad application and easy data interpretation. Pracoviště Mikrobiologický ústav Kontakt Eliška Spurná, eliska.spurna@biomed.cas.cz, Tel.: 241 062 231 Rok sběru 2019
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