Sentence examples for microarray data do from inspiring English sources

If tested using statistically defined criteria for reliability/significance, microarray data do not appear a priori to require more independent validation than data obtained by any other method.

We also note that while the microarray data do not allow us to conclude whether a given differentially expressed marker results from regulation in the HVC or Shelf region, all the genes analyzed by in situs clearly differentiate HVC from the Shelf, while none differentiate the Shelf from the rest of the nidopallium.

This is because of the following reasons: a) Some of the published microarray data do not seem to be covered by the existing repositories/databases.

The up-regulated group and the down-regulated group in human versus mouse identified based on microarray data do not show significant difference in their normalized CpG contents.

However, as microarray data do not provide absolute abundance values for transcripts, selection of reference genes from this type of data is inherently problematic.

However, the comparison between microarray data and quantitative PCR given shows a high degree of concurrence indicating the relative measurements of the microarray data do correspond to reliable changes in transcript abundance of the genes measured.

Surprisingly, our microarray data did not show a significant upregulation of Adcyap1 as observed by Brandish et al (2005) after 24 h of Li-induced inositol depletion.

The microarray data did not show that HLA-DQ is significantly differentially expressed by race/ethnicity in the ER-positive tumors.

While protein analysis usually shows an absence of protein in patients, the microarray data did not reveal a reduction of calpain 3 mRNA indicating that this primary genetic defect cannot be identified by expression profiling.

However, an analysis of the expression of these genes in the microarray data did not reveal significant differences between sr45-1 and WT plants, indicating that SR45 acts on yet to be identified genes for controlling stomatal density.

However, microarray data did not show any regulation due to its much lower sensitivity (signal values of most of them are less than 400 and therefore can not be identified "expression" to current standards) (Table S6).