MIRFILTER: EFFICIENT NOISE REDUCTION METHOD TO IDENTIFY MIRNA AND TARGET GENE NETWORKS FROM GENOME-WIDE EXPRESSION DATA

摘要

A computer implemented method of identifying potential micoRNA targets and biomarkers comprises receiving data identifying a first set of mRNA sequences into computer accessible memory. Each mRNA sequence in the first set has a region that is upstream of a translation start site, a region that is downstream of a translation stop site, and an open reading frame. The method further comprises receiving data identifying a second set of microRNA (miRNA) sequences into the computer accessible memory. Each microRNA sequence has a 5' miRNA section and a 3' miRNA section. Each mRNA sequence is characterized by an expression pattern in the first set as being up-regulated, down-regulated, or uncharged as compared to a control sample and each miRNA sequence in the second set as being up-regulated, down-regulated, or uncharged as compared to the control sample. It is then determined which mRNA sequences from the first set are susceptible to being regulated by microRNA from the second set. A set of consistent relationships is identified between the miRNA and the mRNA determined from the mRNAs that have been characterized.