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

Rui Pinto | Zendy; İbrahim Karaman | Zendy; Matthew R. Lewis | Zendy; Jenny Hällqvist | Zendy; Manuja Kaluarachchi | Zendy; Gonçalo Graça | Zendy; Elena Chekmeneva | Zendy; Brenan R. Durainayagam | Zendy; Mohsen Ghanbari | Zendy; M. Arfan Ikram | Zendy; Henrik Zetterberg | Zendy; Julian L. Griffin | Zendy; Paul Elliott | Zendy; Ioanna Tzoulaki | Zendy; Abbas Dehghan | Zendy; David M. Herrington | Zendy; Timothy M. D. Ebbels | Zendy

Open Access

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

Author(s) -

Rui Pinto,

İbrahim Karaman,

Matthew R. Lewis,

Jenny Hällqvist,

Manuja Kaluarachchi,

Gonçalo Graça,

Elena Chekmeneva,

Brenan R. Durainayagam,

Mohsen Ghanbari,

M. Arfan Ikram,

Henrik Zetterberg,

Julian L. Griffin,

Paul Elliott,

Ioanna Tzoulaki,

Abbas Dehghan,

David M. Herrington,

Timothy M. D. Ebbels

Publication year - 2022

Publication title -

analytical chemistry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.117

H-Index - 332

eISSN - 1520-6882

pISSN - 0003-2700

DOI - 10.1021/acs.analchem.1c03592

Subject(s) - metabolomics , matching (statistics) , chemistry , mass spectrometry , feature (linguistics) , pattern recognition (psychology) , chromatography , artificial intelligence , data mining , computer science , statistics , mathematics , linguistics , philosophy

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