Cellwise outlier detection and biomarker identification in metabolomics based on pairwise log ratios

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F20%3A73594729" target="_blank" >RIV/61989592:15110/20:73594729 - isvavai.cz</a>

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/full/10.1002/cem.3182" target="_blank" >https://onlinelibrary.wiley.com/doi/full/10.1002/cem.3182</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/cem.3182" target="_blank" >10.1002/cem.3182</a>

Result language

angličtina

Original language name

Cellwise outlier detection and biomarker identification in metabolomics based on pairwise log ratios

Original language description

Data outliers can carry very valuable information and might be most informative for the interpretation. Nevertheless, they are often neglected. An algorithm called cellwise outlier diagnostics using robust pairwise log ratios (cell‐rPLR) for the identification of outliers in single cell of a data matrix is proposed. The algorithm is designed for metabolomic data, where due to the size effect, the measured values are not directly comparable. Pairwise log ratios between the variable values form the elemental information for the algorithm, and the aggregation of appropriate outlyingness values results in outlyingness information. A further feature of cell‐rPLR is that it is useful for biomarker identification, particularly in the presence of cellwise outliers. Real data examples and simulation studies underline the good performance of this algorithm in comparison with alternative methods.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10103 - Statistics and probability

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2020

Confidentiality

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

Name of the periodical

JOURNAL OF CHEMOMETRICS

ISSN

0886-9383

e-ISSN

—

Volume of the periodical

34

Issue of the periodical within the volume

'e3182(1)'-'e3182(15)'

Country of publishing house

GB - UNITED KINGDOM

Number of pages

15

Pages from-to

"'e3182(1)'"-"'e3182(15)'"

UT code for WoS article

000501469900001

EID of the result in the Scopus database

2-s2.0-85076179746