Sentence examples for fold changes were generated for each from inspiring English sources

Samples were run in triplicate and fold changes were generated for each sample by calculating 2−ΔΔCt (Livak and Schmittgen, 2001).

Fold changes were generated by comparing average read depths for each contig.

Heatmaps showing expression profiles (log2 fold change) were generated using the MultiExperiment Viewer (MeV, v4.8).

A linear regression of RT-PCR log fold change versus microarray log fold change was generated to evaluate the validity of the microarray data (Fig. 2B).

A list of genes with gene expressions between −1.2-fold and 1.2-fold change was generated using ANOVA.

Two lists of respectively over-expressed and under-expressed gene candidates with more than two-fold change ZGP / ZBNP were generated for subsequent analysis and data validation.

Fold changes were calculated for each sample.

Mean values for fold changes were calculated for each gene.

For each of the folds, probabilities are generated for the test compounds after training.

A five-fold log-scale dilution standard curve was generated for RCP1 using RPC1 cRNA.

Heatmap was generated for a list of the 44 significant genes (with a fold change > 2) that distinguish Her2+ CAFs from both ER + and TNBC derived CAFs.