Sentence examples for of raw datasets from inspiring English sources
This emphasizes the importance of long-term storage of raw datasets for quality control and validation purposes.
Simon Rogers is editor of the guardian.co.uk/data, an online data resource which publishes hundreds of raw datasets and encourages its users to visualise and analyse them.
Once the metadata set for bibliographical description of raw datasets is agreed, fields contained therein will be mapped to existing or new qualified DublinCore (QDC) metadata and a draft format will thus be defined.
It can also be used to evaluate the quality of raw datasets derived from ChIP experiments, that is, to evaluate the level of enrichment for putative TFBSs in different collections of sequences, for a given PWM (86).
There is scope for comparison of raw datasets of one individual from both methods, as an example, the interview transcript and questionnaire reports can be compared and patterns looked for across cases.
In this context, the publication of raw datasets, rather than pre-analysed IC50 values and dose response curves, would be highly desirable, as the original data allow one to glean extra parameters (for example Hill coefficients or, potentially, ion-channel kinetic parameters).
Yet, MI is potentially important in GWAS, because information of samples is compared (case-control design) or combined (analysis of pooled raw datasets, i.e., mega-analysis).
It then applies various geocoding mechanisms to the collected data so as to enable on-demand, location-based mashups of different raw datasets.
We conducted normalization, summation and filtration of the raw datasets provided by four recently published microarray-based studies [14] (GSE8671, Sabates-Bellver et al)., [15] (GSE4183, Galamb et al. 2008-1), [16] (Galamb60, Galamb et al. 2010), [17] (Galamb14, Galamb et al. 2008-2), according to our processing algorithm, independently of procedures applied by the respective authors.
GEO GEO is a database from NCBI of experimental raw datasets, generally microarrays, indexing around 2,800 datasets.
Statistical analysts typically spend the majority of their time parsing raw datasets rather than assessing the reasonableness of alternative analytical routes.
