Finding Correspondence between Metabolomic Features in Untargeted Liquid Chromatography–Mass Spectrometry Metabolomics Datasets

[Image: see text] Integration of multiple datasets can greatly enhance bioanalytical studies, for example, by increasing power to discover and validate biomarkers. In liquid chromatography–mass spectrometry (LC–MS) metabolomics, it is especially hard to combine untargeted datasets since the majority...

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Detalles Bibliográficos
Autores principales: Climaco Pinto, Rui, Karaman, Ibrahim, Lewis, Matthew R., Hällqvist, Jenny, Kaluarachchi, Manuja, Graça, Gonçalo, Chekmeneva, Elena, Durainayagam, Brenan, Ghanbari, Mohsen, Ikram, M. Arfan, Zetterberg, Henrik, Griffin, Julian, Elliott, Paul, Tzoulaki, Ioanna, Dehghan, Abbas, Herrington, David, Ebbels, Timothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008693/
https://www.ncbi.nlm.nih.gov/pubmed/35360896
http://dx.doi.org/10.1021/acs.analchem.1c03592

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008693/
https://www.ncbi.nlm.nih.gov/pubmed/35360896
http://dx.doi.org/10.1021/acs.analchem.1c03592

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