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Normalizing gas‐chromatography–mass spectrometry data: method choice can alter biological inference

Abstract:

We demonstrate how different normalization techniques in GC‐MS analysis impart unique properties to the data, influencing any biological inference. Using simulations, and empirical data, we compare the most commonly used techniques (Total Sum Normalization ‘TSN’; Median Normalization ‘MN’; Probabilistic Quotient Normalization ‘PQN’; Internal Standard Normalization ‘ISN’; External Standard Normalization ‘ESN’; and a compositional data approach ‘CODA’). When differences between biological class...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1002/bies.201700210

Authors


Noonan, MJ More by this author
Tinnesand, HV More by this author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Zoology
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Funding agency for:
Buesching, CD
Publisher:
Wiley Publisher's website
Journal:
BioEssays Journal website
Volume:
40
Issue:
6
Pages:
Article: 1700210
Publication date:
2018-04-30
Acceptance date:
2018-03-07
DOI:
EISSN:
1521-1878
ISSN:
0265-9247
Pubs id:
pubs:828295
URN:
uri:8d6a410f-1574-42bd-8755-d1253854532b
UUID:
uuid:8d6a410f-1574-42bd-8755-d1253854532b
Local pid:
pubs:828295

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