Sentence examples for microarray measures in from inspiring English sources

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However, other major markers of aging, including increased inflammatory signaling (based on cytokine array measures in the periphery and microarray measures in the hippocampus), impaired cognition, and altered synaptic plasticity, were not altered with PIO treatment.

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(XLS 1032 kb) Additional file 5: Annotation, transcript abundance values, and ANOVA results of all genes on the NimbleGen Whole-Genome microarray measured in five grape cultivars.

Additionally, the separate isolation, labeling or hybridization of RNA does not add significant amounts of variation in microarray measures of gene expression.

Hybridization of fluorescently labeled cDNA, reverse transcribed from an RNA sample, to a microarray measures the relative level of mRNA in the sample.

In this study, we reported the analyses of microarrays measuring TA in whole plants after A. thaliana cv 'Columbia' was challenged with fungal pathogen F. virguliforme.

Yuan et al [ 21] reported their analyses of microarrays measuring transcript in whole plants after A. thaliana cv 'Columbia' was challenged with fungal pathogen F. virguliforme.

We used microarray data measured in three biological replicates each (except for quiescent center which had two replicates) on the Affymetrix ATH1 GeneChip from the following seven tissues: lateral root cap and epidermis [13]; quiescent center and columella [14]; cortex, xylem and phloem [7].

First, the regulatory networks are compiled by using the known binary relationships between the transcriptional factors and their regulated genes and the biological classification scheme, and second, the consistency of each regulatory network with the microarray data measured in GK rat is estimated to detect the active networks under the corresponding conditions.

Transcriptome analysis using microarrays measures the expression level, the phenotype in eQTL analysis, of many genes, and segregation of genetic markers within families allows mapping of the loci affecting those phenotypes to specific genomic regions.

The data used to train the classifier was derived from mESCs-related studies using mRNA microarrays, measuring gene expression in various stages of early differentiation, as well as ChIP-seq studies applied to mESCs profiling genome-wide binding of key transcription factors, such as Nanog, Oct4, and Sox2, to the regulatory regions of other genes.

Microarrays can measure in vitro the binding intensity of a protein to thousands of probes.

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