Sentence examples for size for discovery from inspiring English sources

Obtaining a large enough sample size for discovery of MM-specific SNPs is likely to be difficult, as suggested by the lack of MA-specific SNPs found by Gormley et al. [18].

To obtain a large enough sample size for discovery it was necessary to pool several datasets.

That is because more mass spectra were needed to increase the sample size for discovery rate calculation.

In human genomics, consortia and networks have rapidly emerged as important infrastructure for the discovery of genetic risk factors for various common diseases, especially for genome-wide association studies, which require very large sample sizes for discovery and replication (12, 13).

We expanded the Introduction section (within the text size limitations for Discovery notes) to address it to a broader audience.

An assessment of classifier performance as a function of data complexity in an ecotoxicological context, therefore, could generate significant empirical insights concerning issues such as sample size required for discovery of a particular type of gene classifier in an optimized experimental design.

We benefited from a large sample size for the discovery analysis (n = 355) and from the use of a large battery of open access datasets to map associated CpGs to meaningful genomic annotations, such as promoters, predicted and in vivo transcribed enhancers, and long-range interactions.

It is not clear what sample size is required for discovery of a gene classifier for any given chemical with a unique MOA.

This limitation has resulted in small sample size of discovery stage and a difficulty of collecting samples for replication analysis.

In the future, a preliminary survey of transcriptomic impact by various stressors would likely be informative with regard to their data complexity and appropriate sample size for gene classifier discovery.

Our findings demonstrate the power of a multi-dimensional approach to elucidate events which would escape conventional single dimensional analysis and as such, reduce the cohort sample size for cancer gene discovery.