Sentence examples for microarray datasets investigating from inspiring English sources
The availability of two independent ATH1 microarray datasets investigating natural genetic variation in transcript accumulation within Arabidopsis allows a replicated analysis of metabolic pathways to detect biased transcript variance.
Here we report that a meta-analysis of specific microarray datasets investigating AD, followed by a systems biology approach, yields unique insights into AD etiopathogenesis.
We next compared our dataset against a list of 511 common host response genes identified by Jenner et al., [ 18] in a meta-analysis of multiple microarray datasets investigating human host responses to multiple pathogens in different cell types.
To this end, we first analyzed microarray datasets in silico to investigate the expression changes of HOPX in IPF lungs.
Using public microarray datasets and gene annotation, we investigated, for the first time, the global gene expression patterns in the zebrafish genome.
These early studies were key to identifying potential sources of discrepancies between microarray datasets, highlighting the need to investigate this issue in more detail.
To verify the results of RNA-Seq data analysis, we investigated three distinct microarray datasets of AD brains retrieved from Gene Expression Omnibus (GEO) (http://www.ncbi.nlm.nih.gov/geo/) under accession numbers of GSE1297, GSE5281, and GSE11829.
We investigated five different expression microarray datasets in order to determine if the genotype had effect on expression of any gene transcript in aorta, mammary artery, carotid plaque and lymphoblastoid cells.
In this case, condition-specific refers to one of five phenomena (cell cycle, sporulation, DNA damage, stress response or diauxic shift), which were investigated with five different microarray datasets.
Ghosh et al investigated the consistence of four independent microarray datasets from prostate cancer [ 21].
Affymetrix Populus microarray datasets generated in our laboratory [ 24] were used to investigate BAHD gene expression across genotypes, tissues, and stress treatments.
