Sentence examples for omitting a large from inspiring English sources

The quality control approaches varied from none, through using statistical weights, to omitting a large number of spots or omitting entire slides.

The didomain structure reveals a possible way to generate a small and compact KS domain by omitting a large part of the linker and MAT domains, which could greatly aid in rapid screening of KS inhibitors.

This allows us to evaluate statistical enrichments more stringently since we are omitting a large portion of the genome that had low a priori likelihood of being bound by p65.

The simplest strategy for merging the clinical and research goals would be to accelerate the acquisition of the high spatial resolution clinical scan with CS by omitting a large percentage of k-space from the acquisition and reconstructing with a CS scheme that uses both spatial and temporal constraints.

Since RInChIKeys omit a large amount of information, it must be possible for different reactions to have the same RInChI keys.

The previously published dataset as presented additionally unaccountably omitted a large number of codon pairs (3586 were listed instead of the 3904 expected 61 × 64).

To ensure that the survey was manageable time-wise and to increase its reliability, we had to omit a large number of demographic, socioeconomic and environmental variables that were considered at the planning stage.

This is, in our opinion, a large improvement of the previous quality assessments in reviews on this topic, which have omitted a large number of studies from the quality assessment and have only used a subjectively determined evidence level cut-off, a modified generic quality appraisal tool or a seven-point bias-risk assessment.

Many of the studies of community-based programs have used subject populations with medically diagnosed arthritis, which potentially omits a large number of people who have joint pain and participate in these programs, but who do not have a physician diagnosis of arthritis (Kovar et al 1992; Lorig et al 1993, 1998; Lindroth et al 1997).

It should be noted that if interactions were omitted, a large proportion of the variability in models 6 and 8 was not captured by main effects and the variance of the error term ε i j k was the greatest source of variability.

A lower value of (delta ) can reject more trial individuals and omit a larger number of function evaluations, but can also increase the possibility of rejecting a good child; a larger value of (delta ) reduces the possibility of rejecting good child.