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DESCRIBE <http://purl.uniprot.org/SHA-384/F5178742E063676327DF944756F946174E3AEA48C4E7B575AB676CCD47B3373B0047A782313014B5C9C759DA752D6AC3>
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http://purl.uniprot.org/SHA-384/F5178742E063676327DF944756F946174E3AEA48C4E7B575AB676CCD47B3373B0047A782313014B5C9C759DA752D6AC3
http://www.w3.org/1999/02/22-rdf-syntax-ns#type
http://purl.uniprot.org/core/Annotation
http://purl.uniprot.org/SHA-384/F5178742E063676327DF944756F946174E3AEA48C4E7B575AB676CCD47B3373B0047A782313014B5C9C759DA752D6AC3
http://www.w3.org/2000/01/rdf-schema#comment
"A computational model of non-linear regression is shown based on deep neural networks that predict the regulation given by the miRNA target transcripts mRNA coding for Smad7 protein in patients with breast cancer."
xsd:string
http://purl.uniprot.org/uniprot/#_4C3CB4ACFBB766F1B5D2E828F257E60BAECE14ECA4EFEC6C17C1E9D5AA1CD68541F8A809CBA4C8AD3D6723ACAE1AA4C2
http://www.w3.org/1999/02/22-rdf-syntax-ns#subject
http://purl.uniprot.org/SHA-384/F5178742E063676327DF944756F946174E3AEA48C4E7B575AB676CCD47B3373B0047A782313014B5C9C759DA752D6AC3
http://purl.uniprot.org/uniprot/B3KYA8
http://purl.uniprot.org/core/mappedAnnotation
http://purl.uniprot.org/SHA-384/F5178742E063676327DF944756F946174E3AEA48C4E7B575AB676CCD47B3373B0047A782313014B5C9C759DA752D6AC3
http://purl.uniprot.org/uniprot/#_B3KYA8-mappedCitation-30594253
http://purl.uniprot.org/core/mappedAnnotation
http://purl.uniprot.org/SHA-384/F5178742E063676327DF944756F946174E3AEA48C4E7B575AB676CCD47B3373B0047A782313014B5C9C759DA752D6AC3