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We previously used DNA microarray assays to develop expression signatures, which have the capacity to identify subtle distinctions in biological states and can be used to connect in vitro and in vivo states.
One such example can be seen in the context of exposure to ionizing radiation.We have made use of gene expression analysis of peripheral blood (PB) mononuclear cells to develop expression profiles that accurately reflect prior radiation exposure.
In fact, the past several years have seen great advances in the use of DNA microarray data to develop expression signatures that coincide with important cancer phenotypes including tumor aggressiveness, metastasis, and resistance to therapy [9], [10], [11], [12], [13], [14].
When GP develop, expression shifts to the area between the SM and the emerging GP.
As the fetal cortex continues to develop, expression of PCDH11X/Y is also seen in the subplate, albeit less strongly than in the cortical plate and ventricular zone (e.g. Figs 1 A– F and 2 B, C).
Based on the above data, we utilised principal component analysis to develop expression signatures for both the Role of APC in Cell Cycle Regulation and the Transcription/CREB pathways.
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We develop expressions for the mean residence time and its variance for a chemically active and inactive tracer.
Regression analysis was used to develop expressions for thermal efficiency for the subcritical, superheated subcritical, and transcritical regenerative ORC.
We develop expressions for the bow shock's geometry and the physical properties of the plasma sheath as functions of the upstream conditions.
Despite its predominantly rational character in modern times, however, language does develop expressions that extend into the area of the symbolical.
A simple generalised inverse of the associated information matrix is used to develop expressions for the variances of the pairwise treatment comparisons.
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