Sentence examples for minimum expression was from inspiring English sources

In order to use only transcripts expressed above the noise level in the analysis, a threshold of minimum expression was fixed as the mean plus two times the standard deviation of pseudo-spots on the array that contained no cDNA sequences.

For samples that showed no expression of the test gene, the value of minimum expression was used for statistical analysis.

The minimum expression was rounded up to 10, the average of noise in our hybridization experiments.

On the other hand, the results revealed that AT1R levels increased during 1 to 6 h following MCAO, and minimum expression was at 6 h, suggesting that beneficial effects of EA treatment may exhibit a time response.

The maximum expression for a given gene was defined as max i   m e d r   x i g r and the minimum expression was defined as min i   m e d r x i g r, where i = 1,2,..., n, n is the number of time points, r = 1,2,..., R, R is the number of replicates, x igr is the expression at time point i for gene g and replicate r.

The time of maximum expression for a given gene was defined as the i corresponding to max i m e d r x i g r and the minimum expression was defined as the i corresponding to min i m e d r x i g r, where i = 1,2,..., n, n is the number of time points, r = 1,2,..., R, R is the number of replicates, x igr is the expression at time point i for gene g and replicate r.

The times when maximum and minimum expression were observed by microarray.

Seven hundred and fifty eight probe sets were found to be differentially expressed between small and large follicles, when a P < 0.05 and an arbitrary threshold of 3-fold minimum differential expression was applied (Table  2).

The data were further analysed by imposing one or all of the following selection criteria: (1) a minimum level of expression was observed; (2) significant differential expression (twofold or greater) was observed; and (3) the expression pattern was reproducible.

A t-test using the Benjamini-Hochberg multiple hypothesis correction (p < 0.01) and a 2-fold minimum expression change was used to identify 140 genes that were differentially expressed between cervical cancer and normal cervix.

It was applied the ΔΔCT method as described by [ 81], and the minimum expression value was used as calibrator.