Sentence examples for numerous microarray data from inspiring English sources

The Bio-Analytic Resource for Plant Biology (BAR) [ 20] also integrates numerous microarray data and provides expression profile similarity rankings of homologous genes in plant species; however, BAR cannot access algae-related information.

Although the published literature offers a number of articles reviewing microarray use, it is the expertise of this team, as statisticians actively working with numerous microarray data sets, that makes this article valuable to the researching community.

Compared to the numerous improvements in microarray data analysis and clustering methods [ 17- 19], the problem of cross-hybridization between genes of a given organism has rarely been addressed so far.

Despite the numerous software programs for microarray data analysis, the majority do not provide any statistical modeling tools for analyzing dose-response studies.

In support of these alternatives, analysis of publicly-available gene-expression microarray data reveals numerous genes expressed at higher levels in toxin-resistant HEK-293 cells than in toxin-sensitive ACHN cells ([40], [41]and data not shown).

A typical analysis of microarray data returns numerous mRNAs (> 1000) and miRNAs (> 100) as DE.

Numerous studies, notably based on microarray data, have shown that expression of GATA3 is strongly and positively correlated with that of ESR1.

Analysis of high-density microarray data revealed numerous, highly significant differences in transcript expression levels in trisomic BG01V APCs relative to diploid H9 APCs.

Biochemical validation began by quantitative real-time polymerase chain reaction (qRT-PCR) analysis of IL-6 mRNA levels over the first 24 h of SMF exposure, a time frame selected based on the numerous changes seen in the microarray data after one day and literature reports of biphasic IL-6 activation during this time period [ 36].

Other reports describing transcription profiling of stress responses in Arabidopsis have been published, and experiments of time courses of the responses of Arabidopsis to numerous stresses are available in public microarray data repositories.

This is one of the reasons we used the 1.4-fold change cut-off, in addition to previous observations from our published microarray data, showing that numerous markers of chondrocyte differentiation and targets of our studied signaling pathways had less than 1.5-fold change in gene expression between experimental conditions [21].