Sentence examples for transformation of expression from inspiring English sources

Transformation of expression vectors was performed using 1 2 µl of recombination reaction and 40 µl of electrocompetent DH5α bacteria (efficiency equivalent or higher than 108 cfu/µg for multisite Gateway reactions).

Using the "affy" package from the R Bioconductor software [22], probe set expression levels (a probe set is a group of oligonucleotide probes designed to detect the expression of single gene) were calculated using the "rma" (robust multichip average) method, which includes log transformation of expression levels and quantile normalization.

In the case of rank transformation of expression values, the difference of the average ranks between a miRNA's non-targets and targets is used.

Normalization consists of transformation of expression signals into a binary system of «-1» and «1», and it enables comparison of otherwise incomparable expression data between platforms and studies [ 53].

Similarly, in our analysis, the transcription factors JUN, MYC and EGR1 were not identified as PDGF-induced proteins by quantitative proteomics analysis of primary SMC cultures, but were revealed through higher order transformation of expression data as master regulators of PDGF-stimulated transcriptional and protein changes in visceral SMC.

In the centrality-based extension of ORA, when a high-scoring node is marginally close to the imposed cutoff, this effect can be critical; 2) In some circumstances, differential genes are too few to apply ORA [ 53]; 3) Binary transformation of expression data leads to loss of information.

Given that the expression of these five IFN type I inducible genes was not normally distributed, log transformations of expression values were performed and IFN scores were calculated as described for SLE.

Given that the expression of these four IFN type I-inducible genes was not normally distributed, log transformations of expression values were performed, and IFN scores were calculated as described for pSS [ 24].

Subsequent to the choice of suitable expression vectors and proper host strains, and transformation of the expression cassettes, it is important to select for transformants which show high expression levels of the desired protein.

We directly downloaded the processed expression data and used log transformation of the expression values for the following analysis.

To allow comparison of gene expression across biclusters and cell types, we applied z-score transformation of gene expression data followed by median normalization on all available genes for each cell type.