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An Entity of Type : owl:Class, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
rdfs:label
  • GISTIC
rdfs:subClassOf
Semantic_Type
  • Intellectual Product
Preferred_Name
  • GISTIC
UMLS_CUI
  • C2700224
Legacy_Concept_Name
  • GISTIC
FULL_SYN
  • Genomic Identification of Significant Targets in CancerSYNCI
  • GISTICPTNCI
DEFINITION
  • A statistical approach for identifying genomic regions of aberration that are more likely to drive cancer pathogenesis. The method identifies those regions of the genome that are aberrant more often than would be expected by chance, with greater weight given to high-amplitude events (high-level copy-number gains or homozygous deletions) that are less likely to represent random aberrations.NCIPNAS December 11, 2007; vol. 104, no. 50; 20007-20012
code
  • C79084
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