Articles | Volume 13, issue 6
https://doi.org/10.5194/amt-13-2995-2020
https://doi.org/10.5194/amt-13-2995-2020
Research article
 | 
09 Jun 2020
Research article |  | 09 Jun 2020

Comparison of dimension reduction techniques in the analysis of mass spectrometry data

Sini Isokääntä, Eetu Kari, Angela Buchholz, Liqing Hao, Siegfried Schobesberger, Annele Virtanen, and Santtu Mikkonen

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Latest update: 01 Mar 2024
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Short summary
Online mass spectrometry produces large amounts of data. These data can be interpreted with statistical methods, enabling scientists to more easily understand the underlying processes. We compared these techniques on car exhaust measurements. We show differences and similarities between the methods and give recommendations on applicability of the methods on certain types of data. We show that applying multiple methods leads to more robust results, thus increasing reliability of the findings.