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PeakDecoder enables machine learning-based metabolite annotation and accurate profiling in multidimensional mass spectrometry measurements
Multidimensional measurements using state-of-the-art separations and mass spectrometry provide advantages in untargeted metabolomics analyses for studying biological and environmental bio-chemical processes. However, the lack of rapid analytical methods and robust algorithms for these heterogeneous...
Autores principales: | Bilbao, Aivett, Munoz, Nathalie, Kim, Joonhoon, Orton, Daniel J., Gao, Yuqian, Poorey, Kunal, Pomraning, Kyle R., Weitz, Karl, Burnet, Meagan, Nicora, Carrie D., Wilton, Rosemarie, Deng, Shuang, Dai, Ziyu, Oksen, Ethan, Gee, Aaron, Fasani, Rick A., Tsalenko, Anya, Tanjore, Deepti, Gardner, James, Smith, Richard D., Michener, Joshua K., Gladden, John M., Baker, Erin S., Petzold, Christopher J., Kim, Young-Mo, Apffel, Alex, Magnuson, Jon K., Burnum-Johnson, Kristin E. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147702/ https://www.ncbi.nlm.nih.gov/pubmed/37117207 http://dx.doi.org/10.1038/s41467-023-37031-9 |
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