Journal article
Normalizing gas‐chromatography–mass spectrometry data: method choice can alter biological inference
- Abstract:
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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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- Files:
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(Accepted manuscript, pdf, 3.9MB)
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- Publisher copy:
- 10.1002/bies.201700210
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Authors
Funding
+ Poleberry Foundation
More from this funder
Funding agency for:
Buesching, C
Grant:
Research Fellowship
Bibliographic Details
- 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:
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1521-1878
- ISSN:
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0265-9247
- Source identifiers:
-
828295
Item Description
- Keywords:
- Pubs id:
-
pubs:828295
- UUID:
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uuid:8d6a410f-1574-42bd-8755-d1253854532b
- Local pid:
- pubs:828295
- Deposit date:
- 2018-03-07
Terms of use
- Copyright holder:
- Wiley Periodicals, Inc
- Copyright date:
- 2018
- Notes:
- Copyright © 2018 Wiley Periodicals, Inc. This is the accepted manuscript version of the article. The final version is available online from Wiley at: https://doi.org/10.1002/bies.201700210
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