Log in to save to my catalogue

From correlation to causation: analysis of metabolomics data using systems biology approaches

From correlation to causation: analysis of metabolomics data using systems biology approaches

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_wageningen_narcis_oai_library_wur_nl_wurpubs_534740

From correlation to causation: analysis of metabolomics data using systems biology approaches

About this item

Full title

From correlation to causation: analysis of metabolomics data using systems biology approaches

Publisher

New York: Springer US

Journal title

Metabolomics, 2018-04, Vol.14 (4), p.37-20, Article 37

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

Introduction
Metabolomics is a well-established tool in systems biology, especially in the top–down approach. Metabolomics experiments often results in discovery studies that provide intriguing biological hypotheses but rarely offer mechanistic explanation of such findings. In this light, the interpretation of metabolomics data can be boosted by...

Alternative Titles

Full title

From correlation to causation: analysis of metabolomics data using systems biology approaches

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_wageningen_narcis_oai_library_wur_nl_wurpubs_534740

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_wageningen_narcis_oai_library_wur_nl_wurpubs_534740

Other Identifiers

ISSN

1573-3882

E-ISSN

1573-3890

DOI

10.1007/s11306-018-1335-y

How to access this item