Dataset and Data analysis for "Infrared based saliva screening test for COVID-19"

  • Bayden R. Wood (Creator)
  • Kamila Kochan (Contributor)
  • Diana E. Bedolla (Contributor)
  • David Perez-Guaita (Contributor)
  • Matthew J. Baker (Contributor)
  • Jitraporn Vongsvivut (Contributor)
  • M J Tobin (Contributor)
  • Keith R. Bambery (Contributor)
  • Dale Christensen (Contributor)
  • Shivani Pasricha (Contributor)
  • Anthony K. Eden (Contributor)
  • Aaron Mclean (Contributor)
  • Supti Roy (Contributor)
  • Jason A. Roberts (Contributor)
  • Julian Druce (Contributor)
  • Deborah A. Williamson (Contributor)
  • Julie McAuley (Contributor)
  • Mike Catton (Contributor)
  • Damian F. J. Purcell (Contributor)
  • Dale I. Godfrey (Contributor)
  • Philip Heraud (Contributor)

Dataset

Description

External Modelling 1 is the Quasar .ows model to process the Source data 1 to generate the PCA plot shown in Figure 4B and loadings plots in Figure 4C.

External Modelling 2 is the MCDCV-PLS-DA Matlab model that can be used in combination with PLS-Tool Box to generate the Receiver Operating Curves (ROC) and the prediction model shown in Figures 4D and 4E, respectively.

Source Data 1 is for the PCA modelling.
Source Data 2 for the MCDCV-PLS-DA.

This site includes records provided by Elsevier's Data Monitor product. University of Strathclyde does not control or guarantee the accuracy, relevance, or completeness of the information contained in such records and accepts no responsibility or liability for such information.
Date made available16 Mar 2023
PublisherZenodo
Date of data production2021
  • Infrared based saliva screening test for COVID-19

    Wood, B. R., Kochan, K., Bedolla, D. E., Salazar-Quiroz, N., Grimley, S., Perez-Guaita, D., Baker, M. J., Vongsvivut, J., Tobin, M., Bambery, K., Christensen, D., Pasricha, S., Eden, A. K., Mclean, A., Roy, S., Roberts, J., Druce, J., Williamson, D. A., McAuley, J., Catton, M., & 3 othersPurcell, D., Godfrey, D. & Heruad, P., 26 Jul 2021, In: Angewandte Chemie International Edition. 60, 31, p. 17102-17107 6 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
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    38 Citations (Scopus)
    15 Downloads (Pure)

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