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Joint structural annotation of small molecules using liquid chromatography retention order and tandem mass spectrometry data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.11.480137Source: DataRank Database

Joint structural annotation of small molecules using liquid chromatography retention order and tandem mass spectrometry data is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

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Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: greenTopics (16)IDs (PubMed, OpenAlex)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Emma L. Schymanski ORCID,Juho Rousu ORCID,Eric Bach ORCID

Live enrichment

PubMed:19767382 OpenAlex:https://openalex.org/W4213365649

Research Council of Finland

Grant: 310107

Machine Learning for Computational Metabolomics

Research Council of Finland

Grant: 334790

Machine learning for digItal diagnostics of antimicrobial resistance

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/04/27/2022.02.11.480137.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.02.11.480137

repositoryhttps://doi.org/10.1101/2022.02.11.480137

repositoryhttps://aaltodoc.aalto.fi/handle/123456789/118114

Fields of Study

Metabolomics and Mass Spectrometry StudiesAnalytical Chemistry and ChromatographyComputational Drug Discovery Methods0301 basic medicine03 medical and health sciences

Keywords

AnnotationTandem mass spectrometryMass spectrometryChromatographyChemistryLiquid chromatography–mass spectrometrySet (abstract data type)Computer scienceArtificial intelligenceSciences du vivantLife sciences