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Reasons for differences in outbreak size between the two datasets were determined in collaboration between the 19 LPHAs and the Hessian SPHA.
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The isoelectric point for each sequence in the SGC dataset was determined in the same manner using an Excel spreadsheet with visual basic for applications (Microsoft VBA).
Cohort studies (E H) were analyzed in the same manner as for cross-sectional surveys, although samples included in these datasets were determined by selection biases relating to original enrollment in the cohort as well as to enrollees dropping out.
Thus, nearly 76% of the reference structures in this dataset were determined by in vitro methods.
Marker-specific and whole-dataset-specific substitution models were determined in Findmodel [ 109] and are listed in Additional file 2. Findmodel uses Weighbor[ 110], PAML[ 111] and methods in Modeltest [ 112] to determine substitution models.
Concurrently, the predicted probabilities of 18 oncogenic signaling pathways were determined in this dataset [ 14] to enable the integrative analysis.
For each endpoint the selected features (genes) were determined in one dataset and then applied to the remaining ones (Table 1).
While only 29 transcripts (9 in hHSC and 20 in hPaSC, approximately 0.1% of the dataset) were determined to be enriched in the transcriptomic analysis [31], we identified a total of 334 proteins (177 in hHSC and 157 in hPaSC, approximately 5% of our dataset) that were enriched in either sample.
The number of identical sequences between these datasets was determined using a Perl script and divided by the sum of number of complete transcripts in both datasets.
It should, however, be taken into consideration that many structures in our dataset were determined using only a fraction of the actual binding partner, allowing for more flexibility in the protein's termini, which would be restrained in the full protein.
As only two previously published studies [15], [35] allow comparisons across the whole Pvama1 ectodomain, FST values in our dataset were determined across the whole gene and for each of the domains separately.
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