Normalization techniques for univariate biostatistics analysis (Conference Paper)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F18%3A00491880" target="_blank" >RIV/61388971:_____/18:00491880 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Normalization techniques for univariate biostatistics analysis (Conference Paper)

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Normalization techniques for univariate biostatistics analysis (Conference Paper)

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology

Projekt

<a href="/cs/project/LO1509" target="_blank" >LO1509: Pražská infrastruktura pro strukturní biologii a metabolomiku II</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

17th Conference on Applied Mathematics, APLIMAT 2018, Bratislava, Slovakia, 6 February 2018 through 8 February 2018, Code 135345

ISBN

978-802274765-3

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

925-932

Název nakladatele

Slovak University of Technology in Bratislava

Místo vydání

Bratislava

Místo konání akce

Bratislava

Datum konání akce

6. 2. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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