Sentence examples for microarray analyses provides from inspiring English sources

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Coupling these phenotypic data with microarray analyses provides loci that may lead to the sterile phenotypic condition of hybrids.

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In summary, the microarray analyses provide direct evidence for the existence of transcripts from ∼21,100 predicted genes.

Moreover, microarray analyses provide evidence that the expression of miRNAs decreases the abundance of many transcripts carrying potential miRNA target sites [ 12].

Gene expression microarray analyses provide an opportunity to assess which particular pathways are implicated in disease initiation and progression, or in the establishment of a particular cell type.

Phylogenetic and microarray analyses provide an overview of the silkworm SP and SPHs, and facilitate future functional studies on these enzymes.

Several of these enriched transcription factors, such as Gli2 (4.39 fold), Foxo1 (2.51 fold) and Pou2F1 (2.88 fold) were also differentially regulated in our microarray analyses, providing additional evidence for their functional relevance in PKD.

Microarray analyses provide a data-driven approach for judging which pathways serve as "hubs" that connect the diverse processes modulated by CR and aging, and this can lead to the construction of large gene interaction networks, with scope substantially greater than those generated by standard methods.

The integration of microarray and proteomic analyses provides new data on DNA damage responses in plants.

RNA-sequencing (RNA-seq) and microarray transcriptome analyses provide good overviews of the genetic response and inferred plant biochemical changes that occur in response to a wide range of factors (Tran and Mochida 2010; Mochida and Shinozaki 2011; Donofrio et al. 2014; Nguyen et al. 2016; Wang et al. 2016; Zhou et al. 2016; Chen et al. 2017; Nasr Esfahani et al. 2017).

Although the functions of these SCRiPs require further investigation, our gene expression microarray data analyses provide evidence that SCRiPs are responsive to thermal stress, and that different SCRiPs may have acquired distinct functions during their evolution.

Microarray gene analyses provided identification at the transcriptome level of genes that were over- or underexpressed comparing cardiac tissue of young and old animals with very different daily physical activity levels.

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