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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

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Publisher copy:
10.1002/bies.201700210

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
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Funding agency for:
Buesching, C
Grant:
Research Fellowship
Publisher:
Wiley Publisher's website
Journal:
BioEssays Journal website
Volume:
40
Issue:
6
Article number:
1700210
Publication date:
2018-04-30
Acceptance date:
2018-03-07
DOI:
EISSN:
1521-1878
ISSN:
0265-9247
Source identifiers:
828295
Keywords:
Pubs id:
pubs:828295
UUID:
uuid:8d6a410f-1574-42bd-8755-d1253854532b
Local pid:
pubs:828295
Deposit date:
2018-03-07

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