Robust biomarker identification in a two-class problem based on pairwise log-ratios

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F17%3A73581274" target="_blank" >RIV/61989592:15110/17:73581274 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15310/17:73581274
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0169743917300357" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0169743917300357</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.chemolab.2017.09.003" target="_blank" >10.1016/j.chemolab.2017.09.003</a>

Result language
angličtina
Original language name
Robust biomarker identification in a two-class problem based on pairwise log-ratios
Original language description
A new method, robust Pair-wise Log-Ratios (rPLR), is proposed for the identification of biomarkers, distinguishing between two groups of observations. The method can cope with the size effect problem, since it is based on log-ratios between the values of all pairs of variables. rPLR makes use of the variance of pairwise log-ratios, computed for the single groups and for all data jointly. When using a robust estimator of variance (or scale), the method is highly robust against data outliers. The robustness weights are aggregated and displayed in a diagnostics plot, which allows to reveal outlying cells in the data matrix.
Czech name
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Czech description
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Type
J<sub>imp</sub> - 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
<a href="/en/project/GF15-34613L" target="_blank" >GF15-34613L: Statistics in metabolomics for biomarker research in medicine</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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