PMC:4337110 / 16184-17435 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4337110","sourcedb":"PMC","sourceid":"4337110","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4337110","text":"Permutation method for identifying miRNA — mRNA pair with significant regulation change during CIN progress\nFor comparing the results obtained by the SIG++ algorithm, we also used the permutation method, which is the traditional statistic method to assess the significance p value, to identify miRNA — mRNA pairs with significant regulation change between two stages. The procedure is carried out as follows. In each permutation, randomly pick up a miRNA and an mRNA (regardless of sequence prediction), mix their expression data in two stages, and then randomly distribute the mixed data into two stages for miRNA and mRNA, respectively. After that, calculate the co-expression ratio value t for this pair. Perform such permutation 106 times to obtain the background distribution for measuring the significance of clinical miRNA — mRNA regulation change.\nThe p value for a clinically calculated value t* is estimated in the following. Sort the 106 permutated t values in ascending order. If t* \u003c 0, thenp=nt\u003ct*106;\nif t* \u003e 0, thenp=nt\u003et*106,where n{t \u003c t*} and n{t \u003e t*} denote the number of t values less than t*and larger than t*, respectively.\nIf p \u003c 0.05, then the corresponding miRNA — mRNA pair is considered with significant regulation change.","divisions":[{"label":"title","span":{"begin":0,"end":107}},{"label":"p","span":{"begin":108,"end":855}},{"label":"p","span":{"begin":856,"end":1015}},{"label":"p","span":{"begin":1016,"end":1147}}],"tracks":[]}