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To compare global miRNA expression levels between these samples we normalized all mapped miRNA transcripts in each sample as reads per million.
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To reflect such a difference between the samples, we elaborately design an independent soft label for each sample of each class rather than a common label for all the samples of the same class.
Whilst every effort was made to ensure similar MNase digestion between the samples, we cannot exclude that the narrower peaks seen with lower cell numbers are due to increased digestion in these samples.
To characterize the slight differences in the DNA methylation profiles between the samples, we performed pair-wise comparisons between the YH blood cells and mDC cell line.
Since this separation is geographically meaningful and there is temporally stable significant differences between the samples, we proceeded with the four-cluster solution.
To study the underlying patterns of miRNA expression and the relationship between the samples, we applied a hierarchical clustering method that incorporated all 307 miRNAs.
Despite the variability between patient samples, we concluded from these data that sorafenib was directly cytotoxic to human primary sarcomas ex vivo with a corresponding increase in ALDHbright cells, and our ex vivo results with pazopanib and regorafenib correlated with our results in vitro.
Since the rest of the genome is identical between the two samples, we hypothesized that these twins were ideal to study the effect of the supernumerary HSA21.
By considering the change of pitch angle and predicted terrain angle is small between two samples, we can predict state 2 using state 1 information.
In order to gain further insight on gene expression with respect to correlations between BC samples, we constructed correlation maps as previously reported [30].
To compare N incorporation between different samples, we mixed each experimental sample with an external standard.
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