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DESCRIBE <http://purl.uniprot.org/SHA-384/1F292141EE85AB14AABA3E9FEF5F2B0CE7423B33D478E973C654EF6143098A81D7FF15D553ADFED671FE3C6F61ABF363>
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http://purl.uniprot.org/SHA-384/1F292141EE85AB14AABA3E9FEF5F2B0CE7423B33D478E973C654EF6143098A81D7FF15D553ADFED671FE3C6F61ABF363
http://www.w3.org/1999/02/22-rdf-syntax-ns#type
http://purl.uniprot.org/core/Annotation
http://purl.uniprot.org/SHA-384/1F292141EE85AB14AABA3E9FEF5F2B0CE7423B33D478E973C654EF6143098A81D7FF15D553ADFED671FE3C6F61ABF363
http://www.w3.org/2000/01/rdf-schema#comment
"Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas."
xsd:string
http://purl.uniprot.org/uniprot/#_530EE447052B82CA737D4F7AA15F4EB6EF66939947447DBD3BB9771A0ACB85B98E9DFF88A20FDB534C84845CE53C4800
http://www.w3.org/1999/02/22-rdf-syntax-ns#subject
http://purl.uniprot.org/SHA-384/1F292141EE85AB14AABA3E9FEF5F2B0CE7423B33D478E973C654EF6143098A81D7FF15D553ADFED671FE3C6F61ABF363
http://purl.uniprot.org/uniprot/Q0QER2
http://purl.uniprot.org/core/mappedAnnotation
http://purl.uniprot.org/SHA-384/1F292141EE85AB14AABA3E9FEF5F2B0CE7423B33D478E973C654EF6143098A81D7FF15D553ADFED671FE3C6F61ABF363
http://purl.uniprot.org/uniprot/#_Q0QER2-mappedCitation-31741126
http://purl.uniprot.org/core/mappedAnnotation
http://purl.uniprot.org/SHA-384/1F292141EE85AB14AABA3E9FEF5F2B0CE7423B33D478E973C654EF6143098A81D7FF15D553ADFED671FE3C6F61ABF363