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FGF4 and Cacnb3, although displayed on the microarray, were not amplified by qRT-PCR.
Since the samples for the microarray were not pooled, we could perform one-way analysis of covariance (ANCOVA) for covariates, age, PMI, MDD status, viral load, were inputted into the model.
The thyroid cancer and corresponding normal samples on the microarray were not paired well.
We found a number of miRNAs (n = 30) that despite displaying significant differential expression by microarray, were not detected by RNA ISH.
Most of the differentially expressed genes on the microarray were not related to sex function, suggesting large scale differences in gene expression between the sexes are present early in development.
Some of the up-regulated genes of the microarray were not directly related to iron-homeostasis, but were situated next to known or putative iron regulators and displayed similar expression ratios.
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Approximately half of the highly expressed genes identified in the 135k microarray are not included in the previous microarray.
This microarray was not designed to be diagnostic; by using whole-genome arrays for each virus, probes were designed independent of degree of cross-hybridization.
However, it is evident that the overall expression alteration of all 25 genes is statistically comparable, although the actual fold change values in real-time PCR and microarray are not always commensurable.
Since most of the miRNAs used on the microarray are not present at detectable levels in most serum samples, clustering was only performed on a subset of the miRNAs.
Since the resequencing microarray is not sensitive enough to differentiate individual recombinants, the minor genotypes identified by the resequencing analysis could very well represent composites of these recombinant genomes.
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