Sentence examples for expression was computed by from inspiring English sources

Relative gene expression levels were represented as ΔCT = CT gene – CT reference; fold change of gene expression was computed by the 2−ΔΔCT method [ 16].

The preprocessing of microarray data was conducted by the RMA [ 20– 22] integrative method, and the statistical analysis of gene differential expression was computed by the linear models and empirical Bayes methods [ 23].

Statistical significance of differential gene expression was computed by non-parametric statistics using 'Significance Analysis of Microarrays' (SAM) (Tusher et al, 2001), and raw values corrected for multiple testing and expressed as false discovery rate (FDR) values (Benjamini & Hochberg, 1995).

The expressions were computed by the Hankel transform after dispersion.

The agglomerative hierarchical clusters, used to detect similarity relationships in microRNA log2-transformed expressions, were computed by the Euclidean distance between single vectors and the Ward method [ 19].

Differential expression was computed using the generalized linear model implemented in the Bioconductor package DESeq2.

Differential expression was computed using limma [ 30].

Normalization of expression data was computed by the qGENE tool [30].

Expression variability was computed by determining the coefficient of variability (CV) for the set of 9565 commonly detected probes; 1023 of the probes were in the bottom quartile for all three populations.

For pairs of coexpressed genes that are linked in the MA and NI networks, the C. elegans gene expression topological distance was computed by taking the Euclidean distance (Ed) for each pair of corresponding (x, y) coordinates.

Differential expression or methylation was computed by analysis of variance (ANOVA), namely from the F-ratio of the variation within individuals over the three visits, to the total variance in the 36 samples.