Sentence examples for mean induction factor from inspiring English sources

For each stimulus, the number of expression values used for mean induction factor calculation is given.

After normalization, results are ordered according to mean induction factor values, which result in a ranking of experiments.

Once mean induction factors, raw and BH-adjusted (FDR) P-values are calculated, results are ordered according to mean induction factor values.

The individual and mean induction factors of each gene, as well as the number of replicates (n) and the base-10 logarithm of the standard deviation for mean induction factor calculation of each gene, are shown.

The mean induction factor for the genes on the microarray data set was 1.245 (B. cinerea), which is low, but the low P-value (1.4E-9) for B. cinerea may indicate a significant correlation of these genes with their induction by B. cinerea.

Further information given on this page includes the gene identifier ('Gene'), the orientation and position of the cis-sequence relative to the gene start and the induction factor of each experiment, as well as the mean induction factor of the gene.

Positive mean induction factors (>1) describe upregulated genes, and negative mean induction factors (<−1) describe downregulated genes.

This results in a ranked list of microarray experiments according to their mean induction factors.

The gene sets obtained are used to calculate mean induction factors for every A. thaliana microarray experiment stored within PathoPlant.

The tool uses microarray expression data from the PathoPlant database to calculate mean induction factors for gene sets that contain a submitted sequence within their promoters.

By default, the result tables are ranked by mean induction factors and can be resorted in descending or ascending order by selecting the headers of the tables.