Sentence examples similar to considering we require from inspiring English sources

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Our findings may reflect a somewhat conservative definition of "favorable and sustained long-term outcome," considering we required patients to be closest to the best baseline health status cluster in each of the 2 years following the initial cluster assignment baseline assessment.

"There are a significant number of issues to be considered and we consider that we require further time to discuss and decide those issues".

Considering nine parameters, we require 9×10 adverse events, which suggest that a total sample size of 180 is required.

Considering 9 parameters, we require 9×10 adverse events, which suggest that a total sample size of 180 is required.

"To be considered translated, we required ribosome densities to be above 7.7 RPKM and footprint coverage of the ORF to be above 0.57".

For a GO term to be considered enriched, we required at least three unique gene products be included in the term family and the enrichment must have a p-value ≤ 0.01.

For a signal generated through HGT to be considered significant we required that the normalized symmetric difference of the trees with artificial swaps and the species trees was more than zero.

To be considered translated, we required ribosome densities to be at least 11.8 RPKM and footprint coverage of the ORF to be at least 0.57, which are above the 90th percentile of the values we obtained for the 3′-UTRs from canonical coding mRNAs (see 'Materials and methods' for a full explanation of filters and cut-offs).

To even consider a venture, we require a strong value proposition that starts with a large and growing market, a disruptive technology solution, and an outstanding team.

In model six, we again consider vertex degrees, but we require that each list is composed of distinct sets of genes.

While all three databases have many retained cross-database predicted targets, PITA and Targetscan Conserved do tend to outperform picTar 5-way when both precision and recall are considered – that is, when we require database prediction sets to not only contain many true positives, but also to predict many of the actual true targets.

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