Sentence examples for microarray data did from inspiring English sources

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).

Additionally, while protein analysis usually shows an absence of protein in the C57BL/10.SJL-Dysf C57BL/10.SJL-Dysfray data did not reveal a reduction of dysferlin mice indicatheg that this primicroarrayic datact cannot be ididtified by expressionotrevealng [37].

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.

The observed deficit in MNCV and SNCV in Ins2Akita/+ mice does not seem to reflect a delay of PNS maturation since we could not detect any differences in either myelin thickness or axonal size in three month old affected animals and our microarray data does not reveal any changes in the expression of genes involved in either Schwann cell or neuronal maturation or function (see discussion below).

Note that the Affymetrix wheat microarray data does not distinguish between the homeologs within paralogous groups.

By testing for Gaussianity, Hardin and Wilson (2009) find that microarray data does not follow a Gaussian distribution.