Sentence examples for fold change was generated from inspiring English sources
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).
Heatmaps showing expression profiles (log2 fold change) were generated using the MultiExperiment Viewer (MeV, v4.8).
Differences between benign and malignant samples were compared using t-test and a list of significant results presenting proteins with p < 0.05 and at least a 1.8 fold change were generated.
Fold changes were generated by comparing average read depths for each contig.
Samples were run in triplicate and fold changes were generated for each sample by calculating 2−ΔΔCt (Livak and Schmittgen, 2001).
To perform GSEA fold changes were generated to compare two samples, which were then sorted according to values from highest to lowest.
Microarray data were analysed with Partek GS software by 2-way ANOVA in order to look for significant differences between conditions (with sex and infection as factors) and then P values and fold changes were generated using Fisher's least significant difference (LSD) post hoc analysis for comparisons of sex.
However, these genes were included in the subsequent ontological analysis as their modulation is highly significant in dataset 1 and 3. To directly compare the expression data from datasets 1 and 3, a scatter plot of the log2 fold-change was generated using the 58 probes with a significant fold-change in both comparisons (Fig. 2).
Fold change was log transformed for variance stabilization and a single overall p-value that tests if there is a difference between treatments was generated.
Fold change was calculated [23].
