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To apply our feature extraction method we required a 2-dimensional grid arrangement of the metabolic network.
For the first method, we required an average posterior probability of the probes in the putative CNV greater than 0.60 if the segment consisted of at least 50 probes and greater than 0.75 if the segment had between 30 and 49 probes.
In this study, to achieve a power of 80% and an α of 0.05 (two-sided) by the Schoenfeld and Richter method, we required 398 patients for each group, 796 in total, with 2 years of accrual and 5 years of follow-up, assuming a 5-year DFS rate of 75% in the control group and hazard ratio (HR) of 0.667 for the investigational group over the control group.
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In this method, we require only three evaluations of function f.
In this method, we require only three evaluations of a function g.
Point #2: As mentioned in the expanded Materials and methods, we required a higher sequencing depth for the Nascent-Seq data than for the RNA-Seq for this exact reason, i.e., less exonic signal in Nascent-Seq data.
The modified Delphi method we employed required an expert panel that included researchers from each of two relevant fields: informed consent for genetic testing and AD biomarkers with a focus on amyloid imaging in humans.
We also required verification of mRNA abundance by an independent method, and finally we required either differences in protein levels or confirmed DNA sequence differences.
We further required verification of mRNA abundance by an independent method, and finally we required either differences in protein levels or confirmed DNA sequence differences.
In particular, the semi-implicit method we employ requires mild time step restrictions to guarantee the stability.
The method we use requires the solution of a steady-state advection-dispersion equation, and thus is computationally efficient, and applicable to any heterogeneous hydraulic conductivity K field without requiring statistical or structural assumptions.
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