Normalization techniques for univariate biostatistics analysis (Conference Paper)

Result code in 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>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Normalization techniques for univariate biostatistics analysis (Conference Paper)

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

<a href="/en/project/LO1509" target="_blank" >LO1509: Prague infrastructure for structural biology and metabolomics II</a><br>

Continuities

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

Publication year

2018

Confidentiality

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

Article name in the collection

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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Number of pages

8

Pages from-to

925-932

Publisher name

Slovak University of Technology in Bratislava

Place of publication

Bratislava

Event location

Bratislava

Event date

Feb 6, 2018

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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