Shrinkage Approach for Gene Expression Data Analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F13%3A10194347" target="_blank" >RIV/00216208:11110/13:10194347 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/13:00427425
Result on the web
<a href="http://www.ejbi.org/img/ejbi/2013/3/Haman_en.pdf" target="_blank" >http://www.ejbi.org/img/ejbi/2013/3/Haman_en.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Shrinkage Approach for Gene Expression Data Analysis
Original language description
Background: Microarray technologies are used to measure the simultaneous expression of a certain set of thousands of genes based on ribonucleic acid (RNA) obtained from a biological sample. We are interested in several statistical analyses such as 1) finding differentially expressed genes between or among several experimental groups, 2) finding a small number of genes allowing for the correct classification of a sample in a certain group, and 3) finding relations among genes. Objectives: Gene expressiondata are high dimensional, and this fact complicates their analysis because we are able to perform only a few samples (e.g. the peripheral blood from a limited number of patients) for a certain set of thousands of genes. The main purpose of this paper is to present the shrinkage estimator and show its application in different statistical analyses. Methods: The shrinkage approach relates to the shift of a certain value of a classic estimator towards a certain value of a specified target
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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