You can drag and drop algityhmns to compare and contrast data and share the graphs in public and private.
Afterwards, codes were charted under the most appropriate themes thus reducing data through comparing and contrasting data and arranging similar data under the same theme.
These contrasting data and widespread equipoise from clinicians have fuelled several clinical trials: the Age of Blood Evaluation Study (ISCRTN 44878718), the Red Cell Storage Duration Study (NCT00991341), and Red Cell Storage Duration and Outcomes in Cardiac Surgery (NCT00458783).
We compared and contrasted data reported from the ABA to results from studies retrieved from these resources.
However, this kind of result has also been reported in the literature with coincident and contrasting data for SuperSAGE and microarrays [ 87], as well as for the SuperSAGE and qRT-PCR analyses [ 88].
We have generated both quantitative data by exploring categories, determining their frequency and conducting statistical analysis so that we can compare and contrast data from different HEIs and different national contexts, and qualitative data by analysing patterns, creating summaries and interpreting the contextual meanings associated with the data (Weber 1990; Hsieh and Shannon 2005).
Comparing and contrasting data is vital to qualitative analysis and the ability to compare with ease data across cases as well as within individual cases is built into the structure and process of the Framework Method.
The lecture/discussion section was used to introduce new material, to give students an opportunity for guided practice with some of the concepts of the course, and to compare and contrast data from different mutants.
It suggests that comparing and contrasting data of both the IPA differential expression list and the manufacturer's differential expression list is more helpful for comprehensively understanding the differential expression datasets.
Although there are several efforts worldwide to collect and disseminate cancer genomics variation data, it is clear that the data are heterogeneous and it is difficult for users to compare and contrast data from different data sources.
Two key sectors are water and energy, and researchers and policy analysts have previously found it difficult to compare and contrast data in these industries.
