Machine learning for the meta-analyses of microbial pathogens’ volatile signatures
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-018-21544-1.pdf
Reference64 articles.
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3. Nakhleh, M. K. et al. Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules. ACS Nano acsnano.6b04930, https://doi.org/10.1021/acsnano.6b04930 (2016).
4. Carey, J. R. et al. Rapid identification of bacteria with a disposable colorimetric sensing array. J. Am. Chem. Soc. 133, 7571–6 (2011).
5. Costello, B. et al. A review of the volatiles from the healthy human body. J. Breath Res. 8 (2014).
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