Author

Vitaly Kovalev

European Molecular Biology Laboratory

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 Systems Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Katja Ovchinnikova· 2 shared Lachlan StuartiD· 2 shared Theodore AlexandroviD· 2 shared Andrew PalmeriD· 1 shared Angelos RigopoulosiD· 1 shared Artem TarasoviD· 1 shared Asta Maria Joensen· 1 shared Benedikt GeieriD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersSystems Biology

Katja Ovchinnikova

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2 papers

Recent·Most cited

METASPACE: A community-populated knowledge base of spatial metabolomes in health and disease

Theodore Alexandrov, Katja Ovchinnikova, Andrew Palmer, Vitaly Kovalev, Artem Tarasov, Lachlan Stuart, Renat Nigmetzianov, Dominik Fay, Key METASPACE contributors, Mathieu Gaudin, Cristina López, Marina Vetter, John G. Swales, Mark T. Bokhart, Mario Kompauer, , Sheerin K. Shahidi-Latham

An open-source cloud engine annotates imaging mass spectrometry data at controlled false discovery rate; publicly shared results reached over 3200 datasets and 6 million metabolite images by January 2019.

bioRxiv · Feb 13, 2019 · PreprintSystems Biology✦ In-depth digest

Recognizing off-sample mass spectrometry images with machine and deep learning

Katja Ovchinnikova, Vitaly Kovalev, Lachlan Stuart, Theodore Alexandrov

The paper develops machine and deep learning methods to identify off-sample ions in mass spectrometry images, achieving high F1 scores.

bioRxiv · Jan 14, 2019 · PreprintBioinformatics