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  • The development of 'omics' technologies has progressed to address complex biological questions that underlie various plant functions thereby producing copious amounts of data. The need to assimilate large amounts of data into biologically meaningful interpretations has necessitated the development of statistical methods to integrate multidimensional information. Throughout this review, we provide examples of recent outcomes of 'omics' data integration together with an overview of available statistical methods and tools.

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Metadaten
Author details:Dhivyaa Rajasundaram, Joachim SelbigGND
URN:urn:nbn:de:kobv:517-opus4-442639
DOI:https://doi.org/10.25932/publishup-44263
ISSN:1866-8372
Title of parent work (German):Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
Subtitle (English):recent advances in integrative ‘omics’ data analysis
Publication series (Volume number):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (923)
Publication type:Postprint
Language:English
Date of first publication:2020/05/28
Publication year:2016
Publishing institution:Universität Potsdam
Release date:2020/05/28
Tag:package; plant biology; principal component
Issue:923
Number of pages:7
First page:57
Last Page:61
Source:Current Opinion in Plant Biology 30 (2016) 57-61 DOI: 10.1016/j.pbi.2015.12.010
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät
DDC classification:5 Naturwissenschaften und Mathematik / 58 Pflanzen (Botanik) / 580 Pflanzen (Botanik)
Peer review:Referiert
Publishing method:Open Access
License (German):License LogoCC-BY-NC-ND - Namensnennung, nicht kommerziell, keine Bearbeitungen 4.0 International
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