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Through microarray analysis, several AUX/IAA and ARF genes showed significant diurnal patterns in rice flag and seedling leaves.
In order to verify the gene expression patterns observed in the microarray analysis, several genes with diverse patterns were selected and confirmed by Q-PCR.
From microarray analysis, several gene groups were identified to show significant change for each status.
As the first report using microarray analysis, several important metabolic pathways affected by differentially expressed genes in the semigametic cotton genotype have been identified and described in detail.
In microarray analysis, several popular tools for pathway analysis, including GENMAP, CHIPINFO, and GOMINER, are used to identify pathways that are over-expressed by differentially expressed genes.
Consistent with the data obtained from microarray analysis, several of the melanoma derived cell lines exhibited high levels of expression for several of the reported oncogenes and a higher percentage of loss of TSG.
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(b) Relative gene expression as determined by microarray analysis for several candidate genes that map within the del 5q) region.
The microarray analysis revealed several concentration-dependent gene expression alterations including classical estrogen sensitive biomarker gene expression (e.g. estrogen receptor α, vitellogenin, zona radiata).
Kinetic microarray analysis at several time points over a 48-hour recovery period revealed significant upregulation of genes involved in ameliorating the oxidative stress, chaperone proteins, anti-apoptotic factors, and DNA repair factors, and downregulation of pro-apoptotic genes.
Microarray analysis identified several growth factors and pathways that were differentially expressed in stroma in response to 3D epithelial culture.
Microarray analysis of several IPSC lines compared to input fibroblasts and hESCs further confirmed their similarity to hESCs and loss of fibroblast identity (data not shown).
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