Sentence examples for microarray dataset but from inspiring English sources

The qRT-PCR data were consistent with the microarray dataset, but as commonly observed, the dynamic range of expression was higher with qRT-PCR.

Such temporal signals are hard to identify in individual microarray datasets, but become significant by their frequent occurrences across multiple datasets.

Ideally, the same pair of genes should have similar correlation across microarray datasets, but, due to platform differences and normalisation, these can vary.

Transcription of both FABP7 and EGFR genes showed marginal association based upon the microarray datasets, but only nuclear FABP7 immunoreactivity correlated with EGFR expression.

Differing from previous studies, which also analyzed the same microarray datasets but aimed to infer differentially expressed genes and/or to detect genetic controls of the expression regulations within or across ethnic groups (eg, [ 7– 11, 23, 25– 27]), this paper represents a detailed exploitation of the genome-wide distribution of heritabilities of gene expression traits.

Independent component analysis (ICA) has been widely used to tackle the microarray dataset classification problem, but there still exists an unsolved problem that the independent component (IC) sets may not be reproducible after different ICA transformations.

However, PRNP (prp2) itself and some of the other key molecules of the predicted network are not a part of the differentially expressed genes submitted from the microarray dataset (Fig. 5) but showed change in expression by qRT-PCR (Fig. 6; See below and discussion for further clarification).

Data for many probesets in a given expression microarray dataset are comprised of noise but little or no biological signal.

In our microarray dataset, there was a small but statistically significant upregulation of Kcnj11 (pore-forming Kir6.2 subunit of the β cell KATP channel) in oxidant-vulnerable CRI-G1-RS cells, which was associated with increased KATP current density in this cell type (unpublished preliminary data).

Complete microarray dataset is available at Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/) under the accession number GSE45423.

We used these models to analyze a diabetes microarray dataset.