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Data Analysis in Transcriptomics and Metabolomics Clinical Applications
2018 (English)In: Comprehensive Analytical Chemistry, Elsevier, 2018, p. 613-641Chapter in book (Refereed)
Abstract [en]

In the last couple of decades, transcriptomics and metabolomics technologies have been used for the simultaneous detection and quantification of hundreds to thousands of transcripts and metabolites in several clinical studies. Depending on the aim of the study or its design, different data analysis methodologies and pipelines have been applied to extract relevant information from these studies and aid in their interpretation. Using selected examples in the clinical context, this chapter reviews some of these data analysis strategies commonly applied to transcriptomics and metabolomics datasets, both separately and in an integrated manner.

Place, publisher, year, edition, pages
Elsevier, 2018. p. 613-641
Series
Comprehensive Analytical Chemistry, ISSN 0166-526X
Keywords [en]
Data analysis, Data integration, LC-MS, Metabolomics, Personalized medicine, Transcriptomics
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-236390DOI: 10.1016/bs.coac.2018.06.007Scopus ID: 2-s2.0-85050661521ISBN: 9780444640444 (print)OAI: oai:DiVA.org:kth-236390DiVA, id: diva2:1260854
Note

QC 20181105

Available from: 2018-11-05 Created: 2018-11-05 Last updated: 2018-11-05Bibliographically approved

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CiteExportLink to record
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