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Differences between nucleotide and haplotype diversity has been measured across different genes such as Sucrose Synthase 3 in rice (Lestari et al. 2011) and OsDREB1F in wild and cultivated rice (Singh et al. 2015a).
The goal of these studies was to determine whether assessment of contractility and hemodynamics, when measured across different laboratories using the same protocol, could consistently detect drug-induced changes in the inotropic state of the heart using drugs known to have clinically relevant positive and negative effects on myocardial contractility.
However, previous research has shown that linkage disequilibrium (LD) can also be measured across different chromosomes, and may explain more genetic variation in complex, polygenic phenotypes [ 33, 34].
First, we extracted 1,300 intrinsic genes that could be reliably measured across different microarray platforms for use in human breast tumor profiling [ 12].
It is not clear whether abnormalities of cortical anatomy in AD can be reliably measured across different subject samples, how closely they track symptoms, and whether they are detectable prior to symptoms.
When using only the high-variance genes, we gained additional improvement ICC coefficient (median = 0.84, P < 2.2 e − 16), demonstrating that high-variance genes are more reproducibly measured across different microarray platforms.
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Ensuring that scales are robust to measure across different age-groups is important to enable outcomes to be monitored longitudinally.
Comparative and nationwide EU studies measuring across different care settings and cancer types could inform us on organising palliative care for dying cancer patients.
Individual cellular biophysical processes including cell speed were measured across 8 different experimental conditions (4 different surface fibronectin (FN) concentrations and presence or absence of EGF).
Although the conserved TFBS data has been shown to agree well with experimentally measured ChIP-seq binding sites [ 18], only a subset of TFs have been measured across many different cell types and conditions.
The lack of DIF along the most important variables in the case-mix model supports that the same construct is measured across subgroups with different characteristics.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com