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MoDentify: Phenotype-driven module identification in metabolomics networks at different resolutions.
Bioinformatics 35, 532-534 (2019)
Verlagsversion
Postprint
Forschungsdaten
DOI
PMC
Associations of metabolomics data with phenotypic outcomes are expected to span functional modules, which are defined as sets of correlating metabolites that are coordinately regulated. Moreover, these associations occur at different scales, from entire pathways to only a few metabolites; an aspect that has not been addressed by previous methods. Here, we present MoDentify, a free R package to identify regulated modules in metabolomics networks at different layers of resolution. Importantly, MoDentify shows higher statistical power than classical association analysis. Moreover, the package offers direct interactive visualization of the results in Cytoscape. We present an application example using complex, multifluid metabolomics data. Due to its generic character, the method is widely applicable to other types of data.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
4.531
1.869
8
9
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Sprache
Veröffentlichungsjahr
2019
Prepublished im Jahr
2018
HGF-Berichtsjahr
2018
e-ISSN
1367-4811
Zeitschrift
Bioinformatics
Quellenangaben
Band: 35,
Heft: 3,
Seiten: 532-534
Verlag
Oxford University Press
Verlagsort
Oxford
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Computational Biology (ICB)
Institute of Bioinformatics and Systems Biology (IBIS)
Institute of Bioinformatics and Systems Biology (IBIS)
POF Topic(s)
30205 - Bioengineering and Digital Health
30505 - New Technologies for Biomedical Discoveries
30505 - New Technologies for Biomedical Discoveries
Forschungsfeld(er)
Enabling and Novel Technologies
PSP-Element(e)
G-503800-001
G-503700-001
G-554100-001
G-503700-001
G-554100-001
WOS ID
WOS:000459315700025
Scopus ID
85061162778
PubMed ID
30032270
Erfassungsdatum
2018-07-24