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Dual data and motif clustering improves the modeling and interpretation of phosphoproteomic data

Cell Reports Methods(2022)10.1016/j.crmeth.2022.100167Source: DataRank Database

Dual data and motif clustering improves the modeling and interpretation of phosphoproteomic data is a research paper published in Cell Reports Methods (2022). On theSindex it has a DataRank of 0. It has been cited 4 times.

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Enrichment:Funding (4 grants)OA: goldTopics (25)IDs (PubMed, PMC)Annotations (1)

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Authors (2)

Aaron S. Meyer ORCID,Marc Creixell ORCID

Live enrichment

PubMed:35360705 PMC:PMC8967184

NCI NIH HHS

Grant: P30 CA016042

NCI NIH HHS

Grant: U01 CA215709

National Institutes of Health

Grant: 3P30CA016042-35S3

Cancer Center Support Grant

National Institutes of Health

Grant: 5U01CA215709-05

Precision lung cancer therapy design through multiplexed adapter measurement

goldLicense: cc-by

publisherhttps://www.sciencedirect.com/science/article/pii/S2667237522000194/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2667237522000194?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2667237522000194?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8967184

repositoryhttps://escholarship.org/uc/item/3633j1cf

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

HumansLung NeoplasmsPhosphoproteinsCluster AnalysisProteomicsSignal Transduction

Keywords

Proteomics570Lung NeoplasmsLung CancerBiological SciencesPhosphoproteinsArticleGood Health and Well Being5.1 PharmaceuticalsHumansCluster AnalysisBiochemistry and Cell BiologyLungCancerBiotechnologySignal Transduction

Dual data and motif clustering improves the modeling and interpretation of phosphoproteomic data

FAIR Checklist

Authors (2)

Funding (4 grants)

Open Access

Topics

Annotations (Europe PMC)