Abstract:
:Metabolomics is a relatively new high-throughput technology that aims at measuring all endogenous metabolites within a biological sample in an unbiased fashion. The resulting metabolic profiles may be regarded as functional signatures of the physiological state, and have been shown to comprise effects of genetic regulation as well as environmental factors. This potential to connect genotypic to phenotypic information promises new insights and biomarkers for different research fields, including biomedical and pharmaceutical research. In the statistical analysis of metabolomics data, many techniques from other omics fields can be reused. However recently, a number of tools specific for metabolomics data have been developed as well. The focus of this mini review will be on recent advancements in the analysis of metabolomics data especially by utilizing Gaussian graphical models and independent component analysis.
journal_name
Comput Struct Biotechnol Jjournal_title
Computational and structural biotechnology journalauthors
Bartel J,Krumsiek J,Theis FJdoi
10.5936/csbj.201301009subject
Has Abstractpub_date
2013-03-22 00:00:00pages
e201301009issn
2001-0370pii
CSBJ-4-e201301009journal_volume
4pub_type
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journal_title:Computational and structural biotechnology journal
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journal_title:Computational and structural biotechnology journal
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journal_title:Computational and structural biotechnology journal
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