Sentence examples for datasets to determine whether from inspiring English sources
We use the microarray datasets to determine whether significant bias is encountered in this gene expression data.
We then use Principal Component Spectral Analysis of the SNP-SNP Covariance Matrix to compare the measured eigenvalues to a Null distribution of eigenvalues on Gaussian datasets to determine whether the correlations in the data (due to longevity) arises from some property of the mutations themselves or whether they are due to population structure.
Table S10 shows examples of genes exclusively expressed at relatively high rate in tumor tissues in the analysis of dataset C. The use of information theory tools to quantitatively assess changes in steady state transcript abundances allowed us to examine four different datasets to determine whether cancerous tissues have less transcriptome specialization than their normal counterparts.
We also examined several alternative complex datasets to determine whether they supported our conclusions.
We examined parameter estimates for each of the 100 4- and 8-taxon simulated datasets to determine whether such parameters were estimated correctly.
Further age stratified dose-response analyses are required in other large prospective datasets to determine whether findings from the Health Survey for England are replicated elsewhere.
This study used a population-based dataset to determine whether (compared with vaginal deliveries), cesarean section deliveries increase the risk of postpartum stroke during the 3-, 6-, or 12-month period after delivery.
We therefore tested our multilocus African dataset to determine whether we could reject models of population growth, and adopted the best aspects of previous hypothesis-testing and inference approaches.
We further analyzed GSE2109 dataset to determine whether known FoxM1 targeted genes exhibited concordant expression pattern with FoxM1.
Several tree reconstruction methods were applied to each dataset to determine whether different methods yield different topologies, which in turn would indicate that the proposed topologies are unreliable.
We then used FiloDetect on a novel dataset, to determine whether expression of the lipid kinase, PI4KIII β, impacts filopodia production in breast cancer cells.
