Sentence examples for microarray analysis distinguished from inspiring English sources

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These results indicated that the inclusion of CJIE sequences, RM1221-like genomic elements, in our microarray analysis distinguished the gene content of the clonal HS∶41 South African strains from three HS∶41 strains from Canada and Mexico.

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Semi-quantitative RT-PCR detects the expression patterns of individual genes characterized by a single peak in the melting curve, while microarray analysis cannot distinguish different members of the same gene family.

It should be pointed out that, inherent to the analysis of end-stage diseased tissue, microarray analysis cannot distinguish between bona-fide up- and down-regulation of a gene and the selective survival and death, respectively, of cells highly expressing it.

In the present study, laser capture microdissection (LCM) and microarray analysis were used to distinguish gene expression profiles in the small intestinal epithelium of GF versus conventional (CONV) neonatal piglets.

On the other hand, microarray analysis doesn't allow to distinguish between the transcriptional effects due to Vp16-Jazz transgene and the effects on global transcription due to the overexpression of the target gene utrophin.

All four RPE groups (FC, AC, FN and AN) were definitively distinguished by the microarray analysis.

Microarray analysis and western blotting allowed us to distinguish changes in gene expression linked to AP-2 α overexpression that were independent (observed in α27 clone) or dependent of MUC4 expression (only seen in α42 clone).

Using laser-capture microdissection followed by microarray analysis, we first defined a surface phenotype (CD166low/negCD146low/negCD73+CD44lowBMPR1B+) distinguishing the earliest cartilage committed cells (prechondrocytes) at 5 6 weeks of development.

Among the primary goals of microarray analysis is the identification of genes that could distinguish between different phenotypes (feature selection).

In some cases, the differences in genetic expression patterns elucidated by microarray analysis are significant enough for clustering algorithms to distinguish different categories of human heart failure.

With accurate probe annotations and designs to distinguish splicing variants and detect ncRNAs, microarray analysis can get pretty close to what RNA-Seq or lncRNAs-Seq can offer at a significantly lower cost.

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