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Down-regulated genes used to confirm the microarray analysis included GBAA2145, GBAA4027, GBAA5481, GBAA0410, and GBAA2609.
In addition, our microarray analysis included both monocytes and monocyte-derived progeny (DC, macrophages and osteoclasts), and yet the fibrocyte populations formed distinct clusters upon analysis of the microarray data.
The final group used in the microarray analysis included 12 samples, with N = 4 animals/group.
A major functional category of the down-regulated genes emerged from the DHNB vs. DHGB microarray analysis included those encoding a subset of genes related to the wax biosynthesis pathway.
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Approaches for estimating this distribution, proposed in the context of microarray analysis, include fitting maximum likelihood estimates of high-order polynomials [28] or mixture models [46], [47].
A total of 152 patients were assigned to the microarray analysis, including 27 patients with stage I, 69 patients with stage II, 56 patients with stage III disease.
A color map of the relative expression levels obtained via microarray analysis, including the mesodermal, hematopoietic, early and late endothelial markers was also generated.
Metadata of the liver and kidney samples used for the microarray analysis including age of rats at the time of death via euthanasia.
A total of 183 genes were identified as differentially expressed by microarray analysis, including 27 unknown transcripts [see Additional file 1].
Where possible, MR-GSE is used with moderated t-statistics rather than ordinary t-statistics, as these are preferable for microarray analysis including gene set testing [ 56, 58].
To explore the mechanisms underlying the increased arthritis severity in Mmp8-deficient mice, we used a genome-wide microarray analysis including probes for more than 28,000 mouse transcripts.
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