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Improved quantitation in data-independent acquisition proteomics via retention time boundary imputation

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.05.27.656394Source: DataRank Database

Improved quantitation in data-independent acquisition proteomics via retention time boundary imputation is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: greenTopics (12)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 (13)

Michael Riffle ORCID,Nicholas Shulman ORCID,William E. Fondrie ORCID,Christine C. Wu ORCID,Danielle P. Johnson Erickson ORCID

Live enrichment

PubMed:40502008 OpenAlex:https://openalex.org/W4410925629

NIH

Grant: F31AG082395

NIH

Grant: U19AG065156

NIH

Grant: R24GM141156

Intelligence Advanced Research Projects Activity

Grant: W911NF2220059

University of Washington Proteomics Resource

Grant: UWPR95794

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2025/05/31/2025.05.27.656394.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.05.27.656394

repositoryhttps://doi.org/10.1101/2025.05.27.656394

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40502008

Fields of Study

Advanced Proteomics Techniques and ApplicationsAdvanced Biosensing Techniques and ApplicationsMetabolomics and Mass Spectrometry Studies

Keywords

Imputation (statistics)Computer scienceRetention timeData retentionData miningChromatographyMissing dataMachine learningChemistry