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Based on our microarray dataset, we chose to determine the in-depth role of three molecules in the pathogenesis of ECM in mice.
Another microarray dataset we have selected to evaluate for the relevance of transitions of Normalized Shannon Entropy and Statistical Complexity was contributed by True et al. [332] in 2006.
Because 19 CCCH genes do not have the corresponding probe sets in the microarray dataset, we only analysed the expression profiles of the remaining 72 CCCH genes.
For each microarray dataset we selected all known miRNA host genes and calculated a correlation matrix based on their expression profiles.
In order to further characterize genes from our microarray dataset, we chose a subset of genes from Additional file 2 (validation of microarray results) for profiling during a time-course of infection on barley.
On the mesothelioma microarray dataset, we identified five of the 6 amplified regions detected by Christensen and colleagues [ 12] applying the CGHcall package and four using the DNAcopy package.
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Analyzing human microarray datasets, we showed that RUNX2 expression is linked to poor survival in ES patients.
As raw data are only available for some of the microarray datasets, we used the "normalized" data provided by submitters.
In order to better analyze heterogeneous large-scale microarray datasets, we developed the gene tissue index (GTI) as a new robust method for detecting cancer gene outliers.
In the present study, by analyzing multiple female goldfish brain microarray datasets, we have characterized global gene expression patterns for a seasonal cycle.
In accordance and based on analysis of the expression signature in two independent microarray datasets, we validated and demonstrated the correlative expression of both SOX2 and FGFR2 protein in lung SCC tissue histological specimens.
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