Stoichiometric Correlation Analysis: Principles of Metabolic Functionality from 
Metabolomics Data

Schwahn, K.; Beleggia, Romina; Omranian, N.; Nikoloski, Z.

doi:10.3389/fpls.2017.02152

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Stoichiometric Correlation Analysis: Principles of Metabolic Functionality from Metabolomics Data

Schwahn, K., Beleggia, R., Omranian, N., & Nikoloski, Z. (2017). Stoichiometric Correlation Analysis: Principles of Metabolic Functionality from Metabolomics Data. Frontiers in Plant Science, 8: 2152. doi:10.3389/fpls.2017.02152.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002E-9B76-C Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002E-9B77-A

Genre: Journal Article

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Creators:
Schwahn, K.¹, Author
Beleggia, Romina², Author
Omranian, N.¹, Author
Nikoloski, Z.¹, Author

Affiliations:
1Mathematical Modelling and Systems Biology - Nikoloski, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753310
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Date issued: 2017

Publication Status: Issued

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Identifiers: DOI: 10.3389/fpls.2017.02152
BibTex Citekey: 10.3389/fpls.2017.02152

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Title: Frontiers in Plant Science

Abbreviation : Front. Plant Sci.

Source Genre: Journal

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Publ. Info: Lausanne : Frontiers Media

Pages: - Volume / Issue: 8 Sequence Number: 2152 Start / End Page: - Identifier: ISSN: 1664-462X
CoNE: https://pure.mpg.de/cone/journals/resource/1664462X