Accurate, Fully-Automated NMR Spectral Profiling for Metabolomics

Accurate, Fully-Automated NMR Spectral Profiling for Metabolomics. Ravanbakhsh, S., Liu, P., Bjordahl, T., Mandal, R., Grant, J., Wilson, M., Eisner, R., Sinelnikov, I., Hu, X., Luchinat, C., Greiner, R., & Wishart, D. PLoS ONE, 10(5):e0124219, Public Library of Science, 05, 2015.

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@article{ravanbakhsh_plosone,
    author = {Ravanbakhsh, Siamak and Liu, Philip and Bjordahl, Trent  and Mandal, Rupasri and Grant, Jason  and Wilson, Michael and Eisner, Roman and Sinelnikov, Igor and Hu, Xiaoyu and Luchinat, Claudio and Greiner, Russell and Wishart, David },
    journal = {PLoS ONE},
    publisher = {Public Library of Science},
    title = {Accurate, Fully-Automated NMR Spectral Profiling for Metabolomics},
    year = {2015},
    month = {05},
    volume = {10},
    pages = {e0124219},
    number = {5},
    doi = {10.1371/journal.pone.0124219},
    url_arXiv = {https://arxiv.org/abs/1409.1456},
	url_pdf = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0124219},
	url_WebSite = {http://bayesil.ca/},
  url_in_the_news = {https://www.ualberta.ca/news-and-events/newsarticles/2015/may/machine-learning-breakthrough-could-revolutionize-medicine},
}

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