PRFFECT : a versatile tool for spectroscopists
Smith, Benjamin R. and Baker, Matthew J. and Palmer, David S. (2018) PRFFECT : a versatile tool for spectroscopists. Chemometrics and Intelligent Laboratory Systems. ISSN 0169-7439 (https://doi.org/10.1016/j.chemolab.2017.10.024)
Preview |
Text.
Filename: Smith_etal_CILS_2017_PRFFECT_a_versatile_tool_for_spectroscopists.pdf
Accepted Author Manuscript License: Download (1MB)| Preview |
Abstract
PRFFECT is a computer program to aid with spectral preprocessing and the development of classification models. Via a simple text interface, PRFFECT allows users to select wavenumber ranges, perform spectral preprocessing, carry out data partitioning (into training and testing datasets), run a Random Forest classification, compute statistical results, and identify important descriptors for the classification. The preprocessing options provided fall into four categories: binning, smoothing, normalisation, and baseline correction. The program outputs a wide-variety of useful data, including classification metrics and graphs showing the importance of individual wavenumbers to the classification models. As proof-of-concept, PRFFECT has been benchmarked on preprocessing and classification of four food analysis datasets. Sensitivities and specificities above 0.92 were obtained in all cases. The results show that different preprocessing procedures are optimal for different datasets. The PRFFECT software is available freely to the community via GitHub. Link: https://github.com/Palmer- Lab/PRFFECT.
ORCID iDs
Smith, Benjamin R. ORCID: https://orcid.org/0000-0002-7893-4159, Baker, Matthew J. ORCID: https://orcid.org/0000-0003-2362-8581 and Palmer, David S. ORCID: https://orcid.org/0000-0003-4356-9144;-
-
Item type: Article ID code: 62218 Dates: DateEvent15 January 2018Published11 November 2017Published Online29 October 2017AcceptedSubjects: Science > Chemistry Department: Faculty of Science > Pure and Applied Chemistry
Strategic Research Themes > Health and WellbeingDepositing user: Pure Administrator Date deposited: 01 Nov 2017 15:08 Last modified: 11 Nov 2024 11:49 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/62218