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...

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Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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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