Sentence examples for datasets and the availability from inspiring English sources

The taxonomic groups targeted for the baseline reported here were determined primarily by the accessibility of datasets and the availability of authors with appropriate expertise and willingness to contribute data.

Computer-aided drug design (CADD) often involves virtual screening (VS) of large compound datasets and the availability of such is vital for drug discovery protocols.

The strengths of this study include the comprehensive longitudinal dataset, and the availability of earlier data with which to compare and describe changes in child-care practices over time.

Next, we applied it to a practical cancer mutation dataset and explored the availability of our method.

It enjoys valuable properties: from the aptitude to model skewed as well as leptokurtic datasets to the availability of moments and likelihood analytical expressions.

However, the additional radiation burden associated with the CT acquisition, the possibly inaccurate and non-trivial motion estimation from the PET dataset and the non-availability of truly-simultaneous PET/MR devices in most of the PET centres, made us opt for simulating the worst-case scenario where a simple double-gating pass was applied to the PET dataset.

We argue that the greatest bottleneck for applying GWAS to microbial datasets is the availability of experimentally consistent phenotypes or other annotations, such as environmental parameters (metadata).

Details of the numbers and anatomical subsites of procured tumor samples, microarray platforms used, analytical methods conducted, original identifiers reported, information regarding fold changes, and the availability of datasets were provided in Table S1.

Fortunately, with the significant number of studies based on gene expression profiling in the last decade and the availability of datasets for reanalyses and meta-analyses, the field of gene expression profiling has matured.

Clustering algorithms are recently regaining attention with the availability of large datasets and the rise of parallelized computing architectures.

The growing number of gene expression datasets and availability of hundreds of bacterial genomes accelerated the quest for the construction of bacterial transcriptional regulatory networks (TRNs).