Semi-supervised learning for MALDI–TOF mass spectrometry data classification: an application in the salmon industry
Author:
Funder
Agencia Nacional de Investigación y Desarrollo
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08333-2.pdf
Reference48 articles.
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3. Cao Y, He K, Cheng M, et al (2013) Two classifiers based on serum peptide pattern for prediction of HBV-induced liver cirrhosis using MALDI–TOF MS. BioMed Res Int
4. Chung CR, Wang HY et al (2019) Incorporating statistical test and machine intelligence into strain typing of Staphylococcus haemolyticus based on matrix-assisted laser desorption ionization-time of flight mass spectrometry. Front Microbiol 10:2120
5. Clark AE, Kaleta EJ, Arora A et al (2013) Matrix-assisted laser desorption ionization-time of flight mass spectrometry: a fundamental shift in the routine practice of clinical microbiology. Clin Microbiol Rev 26(3):547–603
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