Sentence examples for microarray datasets measured from inspiring English sources

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To merge the microarray datasets measured with multiple platform chips, we selected genes from all platforms based on the NIH Entrez Gene ID and used the Cross-Platform Normalization (XPN) method of Shabalin et al. [ 40] implemented in the R package: "CONOR" [ 41].

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We collected a series of microarray datasets measuring different types of cancers, and a series of datasets measuring other cellular/physiological conditions.

To further compare the PAH response with other experimental conditions, the phenanthrene dataset was clustered with a variety of published microarray datasets measuring responses to biotic, abiotic, chemical, and physical stresses as well as hormone and hormone inhibitor treatments.

Contact: [email protected]; [email protected] The analysis of gene coexpression patterns has been of great interest in recent years due to the widespread availability of microarray datasets measuring thousands of genes.

To test the assumption of inherently greater female variability, we analyzed 293 microarray datasets measuring gene expression in various tissues of mice and humans, comprising analysis of more than 5 million probes.

Based on extensive analysis of microarray datasets measuring gene expression in both sexes of mice and humans, we found no evidence that variability of gene expression is generally greater in females than males.

A total of 297 publicly available Affymetrix Genechip Citrus Genome microarray datasets measuring the transcriptional activity of approximately 33,000 transcripts (~70% transcriptome coverage) were retrieved from the Gene Expression Omnibus, NCBI.

In the following sections, we describe three iterations of the algorithm applied to a microarray dataset measuring the nitric oxide transcriptional response, generating increasingly improved transcription network models.

We also used the public yeast cell cycle microarray time series datasets measured by Spellman et al. [ 16] to demonstrate practical applicability of the developed approach.

The protein dataset mainly measures the abundance of a specific class of signaling proteins while the two microarray datasets quantify the expression of nearly the entire genome.

To verify these preliminary observations from the microarray datasets, we measured PTHLH mRNA expression levels in various renal parenchymal tumors by quantitative real-time PCR (qRT-PCR).

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