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Kieu Trinh Do

dblp:149/9580 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › network bioinformatics › biological network analysis
functional module identification
0.412019
MoDentify: phenotype-driven module identification in metabolomics networks at different resolutions · Bioinform. 2019
Bioinformatics and computational biology
metabolomics
0.412019
MoDentify: phenotype-driven module identification in metabolomics networks at different resolutions · Bioinform. 2019

Methods — techniques the papers use, named apart from their topics

correlation network analysis · 0.4clustering · 0.4
YearPublicationVenuePosition
2019 MoDentify: phenotype-driven module identification in metabolomics networks at different resolutions
abstract
Summary: 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. Availability and implementation: https://github.com/krumsieklab/MoDentify (vignette includes detailed workflow). Supplementary information: Supplementary data are available at Bioinformatics online.
Kieu Trinh Do, David J. N. P. Rasp, Gabi Kastenmüller, Karsten Suhre, Jan Krumsiek
Bioinform.1