Sentence examples for systematic dataset from inspiring English sources

The analysis also provides local stakeholders with a systematic dataset at the regional scale regarding the factors that drive sustainable choices in PSFP.

Our systematic dataset Test 1 (T1) has 13 000 (non-overlapping) genes with numbers of splice forms per gene varying from one to five.

This baseline information provides a systematic dataset for categorical and standardized comparison of PCR, and any other emerging or future diagnostic assays (eg, Aspergillus lateral flow device; [ 3, 4].

Beside the analysis of genetic variability in gene expression presented here, this systematic dataset will also offer opportunities in a priori analysis of expression levels correlations structure as for example inferring co-expression networks [ 52].

Multidimensional scaling of 1107 tumours based upon the expression of all common probesets between the three arrays (22,215) demonstrated that global gene expression is highly influenced by dataset, with tumours clustering by study (Fig. 3A), again suggesting a systematic, dataset-specific bias.

We first built a classifier that integrates a variety of genomic and systematic datasets to prioritize drug targets specific for breast, pancreatic and ovarian cancer.

Beyond the three types of cancers we analyzed, there are many other types of diseases for which various genomic and systematic datasets are available.

ENCODE uses defined cell lines to generate high-throughput unbiased systematic datasets and maps of protein-DNA interactions, but leaves biological studies and functional follow-ups to other granting mechanisms.

The way the existing journal system operated was completely unsuited to very data intensive research where the real need is to be able to use large systematic datasets as a way of providing links between disparate bits of information.

Furthermore, although large systematic datasets exist for in vitro binding specificity of human and mouse TFs determined using protein-binding microarrays (Badis et al., 2009) and high throughput SELEX (HT-SELEX; Jolma et al., 2013), these methods have not been previously used to systematically analyze specificities of many TF families from more distantly related organisms.

Herein we use a non-systematic dataset on Australasian gannets (Morus serrator) from 2001 to 2009 to identify potential connections between Gannet Sightings Per Unit Effort (GSPUE) and climate and oceanographic variability in a region of known importance for breeding seabirds, the Hauraki Gulf (HG), New Zealand.