Sentence examples for organized our data from inspiring English sources
We have organized our data using the CIDOC CRM (Conceptual Reference Model).
To group acetylation events into fast and slow rates, we organized our data using hierarchical clustering and displayed them as heatmaps using Perseus42.
Since health systems are characterized by a diversity of institutions and activities, we organized our data according to the World Health Organization's (WHO) Health Systems Framework [ 23].
In one case, we organized our data into a tensor of type protein/gene locus link × gene ontology category × osteogenic stimulant, and found that our cells expressed two distinct, stimulus-dependent sets of functionally related genes as they underwent osteogenic differentiation.
We considered using FAT16 to organize our data on the cards, but abandoned that feature due to the added complexity of reading FAT16.
Finally, we re-organized our data by stakeholder in order to identify differences and similarities per stakeholder.
Our analytic strategy involved organizing our data within Pocock and Phua's framework to identify overlapping and divergent issues.
Subsequently, we utilized content codes to organize our data, by coding themes that emerge in response to a question or from dynamic dialog.
We then did a thematic analysis that resulted in organizing our data into three overarching themes: the information needs of people with colorectal cancer, the sources of this information, and the timing of these information needs.
The importance of being earnest in our approaches to such problems, in the way we think about our data, in the way we organize our data, and in the way we write about our data, is crucial if we are to make sense of the complexities [ 32].
Reviewed below are our methods for organizing our data and creating descriptions of trajectories of pain care services (event-stream methods) followed by the three principal analytic approaches to be employed to match participants receiving A/C to suitable controls - selection models, propensity score analysis, and the analysis of matched comparison groups.
