Author

Dennis A. Veselkov

Intelligify (United Kingdom)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

Aaron FaitiD· 1 shared Adolfo AmézquitaiD· 1 shared Aleksandr Alekseevich SmirnoviD· 1 shared Alexander A. AksenoviD· 1 shared Alexey V. MelnikiD· 1 shared Alisdair Robert FernieiD· 1 shared Amina BouslimaniiD· 1 shared Andrea G. Albarracín OrioiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Aaron FaitORCID

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Author profile →

1 paper

Recent·Most cited

Algorithmic Learning for Auto-deconvolution of GC-MS Data to Enable Molecular Networking within GNPS.

Alexander A. Aksenov, Ivan Laponogov, Zheng Zhang, Sophie L. F. Doran, Ilaria Belluomo, Dennis A. Veselkov, Wout Bittremieux, Louis-Félix Nothias-Scaglia, Mélissa Nothias-Esposito, Katherine N. Maloney, Biswapriya B. Misra, Alexey V. Melnik, Aleksandr Alekseevich Smirnov, Xiuxia Du, Kenneth Lyons Jones, , Kirill Veselkov

The paper develops a machine learning workflow for auto-deconvolution of GC-MS data within GNPS, enabling molecular networking and applications in breathomics and volatilome mapping.

Nature Biotechnology · Nov 9, 2020Peer-reviewedBioinformatics