Sentence examples for microarray were identified from inspiring English sources

409 probe sets (a technical term that describes a transcript on the microarray) were identified as differentially regulated between the BSE infected (n = 14) and negative (n = 12) samples.

A total of 583 (5.62%) of the 10,368 features from the cDNA microarray were identified as significantly different between aposymbiotic and symbiotic anemones (P < 0.01).

Hence, a total of 53 miRNAs, about 8.4% (53/632) of the probes on the microarray, were identified as putative differentially expressed miRNAs (P = 0.01) (Table  2).

3739 orthologues between the human FL microarray and the mouse U74Av2 microarray were identified based on curated Hu6800 orthology from Affymetrix [ 39].

In order to estimate the genomic representation of the microarray, Arabidopsis sequences similar to the citrus unigenes present in the microarray were identified and used for Gene Ontology [ 24] functional classification (see Material and Methods).

Using BLAST alignments of probe and cDNA sequences, the members of each isoform 'family' that could be targeted by either qRT-PCR or microarray were identified (typically multiple isoforms for each gene).

The genomic locus of each candidate gene in the microarray was identified by aligning the EST with the Nipponbare reference sequence.

Four broad groups of quality indicators in gene expression profiling studies (clinical, tissue, RNA, and microarray quality) were identified.

Three samples 120,123 and 102 which were genotyped as GI.1, GII.12 and GII.3, respectively, in microarray analysis were identified as GI.8, GII.1 and GII.1 in the phylogenetic result.

Within these pathways, gene symbols associated with GO, annotated to rat, and present on our microarray platform were identified (total genes: insulin receptor signaling = 37; inflammatory signaling = 141).

Statistically significant differentially expressed genes in the Affymetrix GeneChip® microarray data were identified via the Bioconductor software framework (http://www.bioconductor.org) and the Significance Score (S-Score) algorithm [35].