Sentence examples for more robust coverage from inspiring English sources

If anything, Medicare enrollees enjoy more robust coverage under the earlier provisions of the law, which expanded coverage for preventive care and prescription drugs.

Since 1992, the paper, with more robust coverage of legislative policy, has been owned by the Economist Group, which bought CQ (a k a Congressional Quarterly) as a companion publication in 2009.

Something like the Fast and Furious gun tracking operation is a good example of a program that, if it had happened under Bush, would almost surely have received far more robust coverage than it did.

EMU provides a more robust coverage of mutations overall.

In this case, most wireless companies will have one of two major objectives: adding deeper capacity making wireless voice and data service more robust in existing coverage areas or expanding their footprint adding coverage to new geographical areas.

Random subsamples of the metagenomes were used instead of the totality of the whole metagenomes, because PHACCS analyses are more robust at low coverage.

In general, the coverage level depends on the MCS, obtaining better coverage for more robust MCS.

The ranking of the algorithms stays consistent across the coverage range, except for BreakDancer, which shows more robust performance at low depth of coverage.

An additional improvement of signatures could be expected from the application of latest generation microarray platforms with more exhaustive (exon rather than transcript coverage) and more robust sets of gene specific probes [ 23].

In contrast, expression profiling by deep sequencing is normalized against the whole transcriptome providing more robust data in a high coverage sequencing experiment than what can be attained by QRT-PCR.

Previously, we showed that the sensitivity of the SeqFEATURE library of automatically derived functional site models (described in section "Increasing functional coverage") is more robust than that of some of the leading sequence and structure-based function prediction methods when sequence identity and structural similarity to known proteins are low [ 35].