Sentence examples for more microarray data from inspiring English sources

During co-expression analysis, more microarray data will generate better reliability.

When more microarray data on pulmonary inflammation models will become available in the future, it can therefore be expected that the number of identifiable common and specific responsive genes and pathways will increase.

Integration of more microarray data sets may lead to the discovery of more robust prostate cancer biomarkers.

Instead, this study started from the beginning, as Perou et al. (2000) did, just with more microarray data.

In order to examine the regulatory mechanism between tmem59 and the corresponding genes, it is necessary to integrate much more microarray data which can be from either in-house or public domain.

In general, elaborate proteome analyses require much more time and effort than transcriptome analyses; thus, more DNA microarray data are available for different perturbations affecting the life cycle and solvent production of C. acetobutylicum.

More recently, microarray data have shown that many OTU family members were rapidly up-regulated or down-regulated in human esophageal epithelial cells and lymphocytes when stimulated by different cytokines, such as ovarian tumor domain containing 6B (OTUD-6B), a novel DUB of the OTU family members.

Furthermore, there is much more DNA microarray data in the public databases available for independent validation.

As more tick microarray data is now available, this will enable the identification of stable housekeeping genes to standardise R. microplus qRT-PCR in the future (manuscript under preparation).

Such pro-inflammatory effects on endothelial cells may be amplified when iRBC are combined with platelets in co-culture experiments (Wassmer et al, 2006) and, more recently, microarray data on iRBC and platelets co-cultured with human brain endothelium indicate that the combination of iRBC and platelets can cause significant pro-inflammatory changes not induced by iRBC alone (Barbier et al, 2011).

The gene networks present in the platelets and red blood cells are thus expected to be more similar; microarray data from red blood cells should reflect the topology of a platelet's network to a greater extent than that of a lymphoblast network.