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Selection of optimal cell lines for high-content phenotypic screening

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.11.523662Source: DataRank Database

Selection of optimal cell lines for high-content phenotypic screening is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)OA: greenTopics (36)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (5)

Karl Kumbier ORCID,Li Li ORCID,Steven P. Altschuler,Lani F. Wu ORCID,Louise Heinrich ORCID

Live enrichment

PubMed:36711978 OpenAlex:https://openalex.org/W4315798200

National Institutes of Health

Grant: 5R01CA184984-03

A scalable image-based approach for profiling and annotating very large compound

greenLicense: cc-by-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/01/12/2023.01.11.523662.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.01.11.523662

repositoryhttp://dx.doi.org/10.1101/2023.01.11.523662

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36711978

Fields of Study

Cell Image Analysis TechniquesImage Processing Techniques and ApplicationsAdvanced Fluorescence Microscopy Techniques0301 basic medicine03 medical and health sciences0302 clinical medicine

Keywords

High-content screeningRanking (information retrieval)Selection (genetic algorithm)Computer sciencePhenotypic screeningCell cultureComputational biologyScalabilityTask (project management)Drug discoveryLine (geometry)PhenotypeCellArtificial intelligenceBiologyBioinformaticsGeneticsMathematicsEngineeringDatabase570Organic ChemistryBiological SciencesArticle004Cell LineMedicinal and Biomolecular ChemistryChemical sciences5.1 PharmaceuticalsCancer

Sustainable Development Goals

SDG 0: Good health and well-being