Sentence examples for analyses of such datasets from inspiring English sources

Several useful algorithms allow systems-level analyses of such datasets.

We examined two commonly used methods for analyses of such datasets, ADMIXTURE and EIGENSOFT, and found that the accuracy of recovery of population structure is affected to a large extent by the sample used for analysis and how representative it is of the underlying populations.

However, these early applications of meta-analyses on such datasets have not accommodated between-study heterogeneity in the data synthesis.

We have added tools to Galaxy that can perform some basic analyses for such datasets.

Finally, we discuss how network-based analyses of such molecular datasets could benefit biodiversity studies.

With the ever-increasing size of the datasets produced by HTS experiments, effective management of resources is critical for visualizing and analysing such datasets.

Because efficient implementations allow fast processing of datasets with tens of thousands of genes and hundreds of cells without overfitting, it is a promising tool for analysing such datasets.

The principal component analyses [see Additional file 6], a standard approach for analyses of multidimensional datasets such as ours, identified traits with similar and contrasted responses but not with the same resolution as our analyses of individual traits (compare Figures  3 and 4).

This should be improved by a preliminary EST-clustering step, which could be included for future analyses of EST datasets more amenable to such clustering.

The rules and methods described here are applicable to all such datasets and analyses.

Here we address this issue by analyses of two datasets.