Sentence examples for dataset to explore whether from inspiring English sources

We performed ANOVA on our dataset to explore whether there was any significant PSD difference (p < 0.05) owing to familiarity.

Larger datasets are also required to explore whether lifestyle factors, such as sedentary behaviour, could modify or contribute to the relations between novel genetic risk factors and adiposity.

This pipeline was tested on previous datasets to explore the extent to which host transcripts pervaded.

We used these datasets to explore and provide new insights into metazoan adaptation, diversity and evolution.

We created a combined dataset using NSHPC and SOPHID data to explore whether a woman returned for HIV care anywhere in England, Wales and Northern Ireland in the year following pregnancy.

Hence, it is interesting to explore whether the UPDS datasets should be preferred over the similarity-reduced counterparts to avoid any potential loss of useful information due to the elimination of highly similar peptides in a setting where the goal is to optimize the predictive performance of the classifier on novel peptides.

Given the potential for significant LD between loci to lead to nonindependent FST estimates, we then removed all SNPs showing any significant LD from our dataset and recalculated the FST distribution of remaining SNPs to explore whether this distribution was different.

For example, using record linkage to routinely collected healthcare datasets we could establish a future e-cohort study to explore whether babies with a renal marker detected during pregnancy have a higher risk of urinary tract infections or hospital admissions for renal disease during childhood, compared to babies without a marker.

We used principal component analysis (PCA) to explore whether expression of the nine genes can separate clinical groups in these datasets, providing new dimensions (principal components) that summarize expression of the nine selected genes.

To explore whether rs3117222 affects HLA-DPB1 gene expression, we used two publicly available mRNA expression datasets from the MuTHER [ 5] and Gen Cord [ 6] projects.

However, it would be interesting to explore whether there would be any regional or sociodemographic differences in terms of clinical inertia, given the large dataset.