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

Viewed

Total article views: 3,121 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,076 983 62 3,121 302 42 56
  • HTML: 2,076
  • PDF: 983
  • XML: 62
  • Total: 3,121
  • Supplement: 302
  • BibTeX: 42
  • EndNote: 56
Views and downloads (calculated since 15 Nov 2019)
Cumulative views and downloads (calculated since 15 Nov 2019)

Viewed (geographical distribution)

Total article views: 3,121 (including HTML, PDF, and XML) Thereof 2,892 with geography defined and 229 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
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.