MicroRNA expression data from Ewing's sarcoma tumor samples
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ABSTRACT: Ewing sarcoma a rare pediatric tumor characterized by EWSR1-ETS fusions. We performed expression profiling of both miRNA and mRNA from the same Ewing's sarcoma tumors. We propose a novel statistical measure of non-linear dependence between miRNA and mRNA expression, In order to infer miRNA-target interactions. This approach, That we name antagonism pattern detection, Is based on the statistical recognition of a triangular-shaped pattern in miRNA-target expression profiles. This pattern is observed in miRNA-target expression measurements since their simultaneously elevated expression is statistically under-represented in the case of miRNA silencing effect. The proposed method enables miRNA target prediction to strongly rely on cellular context and physiological conditions reflected by expression data.
ORGANISM(S): Homo sapiens
PROVIDER: GSE37370 | GEO | 2012/06/12
SECONDARY ACCESSION(S): PRJNA159803
REPOSITORIES: GEO
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