@prefix : <http://semanticscholar.org/cv-research/> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix fhir_link: <http://hl7.org/fhir/link/> .
@prefix ncit: <http://ncicb.nci.nih.gov/xml/owl/EVS/Thesaurus.owl#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix sso: <http://semanticscholar.org/cv-research/> .
@prefix whocv: <http://semanticscholar.org/cv-research/WHO#> .
@prefix xml: <http://www.w3.org/XML/1998/namespace> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<http://fhircat.org/cord-19/metadata/c34dcfec2a5e68f31f6a0401d2cd636021d984bc> fhir_link: <https://fhircat.org/cord-19/fhir/Commercial/c34dcfec2a5e68f31f6a0401d2cd636021d984bc> ;
    dc:abstract "Protein microarrays provide a versatile method for the analysis of many protein biochemical activities. Existing DNA microarray analytical methods do not translate to protein microarrays due to differences between the technologies. Here we report a new approach, ProCAT, which corrects for background bias and spatial artifacts, identifies significant signals, filters nonspecific spots, and normalizes the resulting signal to protein abundance. ProCAT provides a powerful and flexible new approach for analyzing many types of protein microarrays." ;
    dc:creator "['Zhu, Xiaowei', 'Gerstein, Mark', 'Snyder, Michael']" ;
    dc:identifier <http://dx.doi.org/10.1186/gb-2006-7-11-r110>,
        <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1794587>,
        <https://www.ncbi.nlm.nih.gov/pubmed/17109749> ;
    dc:issued "2006-01-01"^^xsd:date ;
    dc:license "CC BY" ;
    dc:title "ProCAT: a data analysis approach for protein microarrays" ;
    sso:has_full_text "True" ;
    sso:journal "Genome Biol" ;
    sso:sha "c34dcfec2a5e68f31f6a0401d2cd636021d984bc" ;
    sso:source_x "PMC" .

