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end{aligned} (60)To connect the entropy of the horizon to its radius (R_mathrm{A}) in Horava Lifshitz cosmology, we consider the expression as in [66] begin{aligned} S_{h}=frac{kappa ^{2}}{32 Lambda G_mathrm{c}^{2}}[Lambda R_mathrm{A}^{2}+2k ln (sqrt{Lambda }R_mathrm{A})].
Thus, extraction methods from whole blood must be optimised to either eliminate erythrocyte contamination or consider the expression as cumulative and design downstream experiments for miRNA protein target studies accordingly.
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For IgH, we considered the expression as low (IgHlow) when it was negative or dimly positive, and high (IgHhigh) when it was positive or strongly positive.
Based on these results, we consider the expression of miR-221 as an important prognostic and therapeutic marker of the advanced stages of this disease.
where we have applied the approximation (4) again.c Consider the expression inside the parentheses, evaluated as a function of a generic image location x and holding p0 fixed: A ( x ) = − K log a 2 ( x ) σ ε 2 ( x ) σ n 2 + 1 + ∥ y ( x ) − μ ( x ) 1 ∥ 2 × 1 σ n 2 − 1 − cos 2 ∠ p 0, y ( x i ) − μ ( x ) 1 a 2 ( x ) σ ε 2 ( x ) + σ n 2, (14).
Most eQTL studies consider the expression profiles of different genes as different traits to be mapped one by one separately.
Specifically, the model considers the expression of each gene as a function of the expression of other genes.
To better understand the four subtypes in terms of pathways, we performed a CAMERA gene set test (Wu and Smyth, 2012), which considers the expression of gene sets, such as pathways, instead of individual genes.
The exon-gene relationship can be graphically represented considering the expression values, as it is done in Figure 3A.
The fold-change values of the OsATG homologues are given in Fig. 4, considering the expression levels of the control (water) as 1.
Based on two rather reasonable assertions (i) a good modelling strategy should consider all available variables as potential effects in the model, and (ii) gene expressions are highly interconnected, we suggest that an eQTL model for a given gene should consider the rest of expression levels as potential regressors as well as the markers to identify regulatory polymorphisms.
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