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Integrated data analysis for genome-wide research
Institute for Biology and Biochemistry, University Potsdam, Potsdam-Golm, Germany .
Institute for Biology and Biochemistry, University Potsdam, Potsdam-Golm, Germany.ORCID-id: 0000-0002-7173-5579
Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany .
Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany .
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2007 (Engelska)Ingår i: Plant Systems Biology / [ed] Sacha Baginsky & Alisdair R. Fernie, Switzerland: Springer, 2007, Vol. 97, s. 309-29Kapitel i bok, del av antologi (Refereegranskat)
Abstract [en]

Integrated data analysis is introduced as the intermediate level of a systems biology approach to analyse different 'omics' datasets, i.e., genome-wide measurements of transcripts, protein levels or protein-protein interactions, and metabolite levels aiming at generating a coherent understanding of biological function. In this chapter we focus on different methods of correlation analyses ranging from simple pairwise correlation to kernel canonical correlation which were recently applied in molecular biology. Several examples are presented to illustrate their application. The input data for this analysis frequently originate from different experimental platforms. Therefore, preprocessing steps such as data normalisation and missing value estimation are inherent to this approach. The corresponding procedures, potential pitfalls and biases, and available software solutions are reviewed. The multiplicity of observations obtained in omics-profiling experiments necessitates the application of multiple testing correction techniques.

Ort, förlag, år, upplaga, sidor
Switzerland: Springer, 2007. Vol. 97, s. 309-29
Serie
Experientia Supplementum, ISSN 1023-294X ; 97
Nationell ämneskategori
Bioinformatik och systembiologi
Identifikatorer
URN: urn:nbn:se:oru:diva-40640DOI: 10.1007/978-3-7643-7439-6_13PubMedID: 17432273Scopus ID: 2-s2.0-34247886045ISBN: 978-3-7643-7439-6 (tryckt)OAI: oai:DiVA.org:oru-40640DiVA, id: diva2:778032
Tillgänglig från: 2015-01-09 Skapad: 2015-01-09 Senast uppdaterad: 2018-11-09Bibliografiskt granskad

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