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To avoid a sampling bias in estimates and tests that assume random sampling, we used one multiple captured allele per individual, this allele being the most frequently captured in our mark-recapture cloning procedure [27].
Given our AIF measurements and anticipating that population-based IDIF correction is most practical for scans without arterial sampling, we used mean tracer-dependent scale factors to correct IDIFs.
For this destructive sampling, we used different boulders every time.
For both types of sampling we used gill nets (3 m high by 91 m long) with mesh sizes measuring 5-, 10-, and 15-centimeters (stretch mesh).
To evaluate the effect of incomplete species sampling, we used taxonomic information about missing species to include them in our phylogeny.
To examine the possibility that the observed β-diversity between the rare members of the community is due to inadequate sampling, we used the best-fit parametric estimator (mixture of 2 exponentials-mixed Poisson) to estimate the species richness, as well as the predicted distribution patterns within each quadrant, using the criteria previously outlined [37], [38].
Similar(41)
In the simulation, for nested sampling, we use N1 = 7, N2 =11 , and L = 10.
To assess mutation clonality in matched samples, we used PHYLOGIC30 to perform clustering of ABSOLUTE CCFs.
To obtain the atmospheric samples, we used two standard passive MTX ARS 1010 automatic deposition collectors.
To determine differentially spliced exons between the samples we used rMATs (version 3.0.9) using human UCSC known genes annotation.
To eliminate reflection from the glass plate encapsulating the sample, we used a refractive index matching gel.
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