More effort — more results
- 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.
Author details: | Dhivyaa Rajasundaram, Joachim SelbigGND |
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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): | CC-BY-NC-ND - Namensnennung, nicht kommerziell, keine Bearbeitungen 4.0 International |