The difference in the existing DS methods, clarified through our concept of constructing the large-scale state from independent components as their decomposition, is summarized in Table 1.
This is fundamentally different from our method, in that our concept selection was made according to biologic significance consensually recognized by experts and independent of their occurrence in the literature.
These studies, as well as more recent reports using a variety of methods, have markedly altered our concept of differentially methylated regions (DMRs) in the mammalian genome and the progression of DNA methylation changes during development [ 19- 36].
The evaluation results show that our concept learning method is valuable and extended selectors support it significantly.
Our future work is to evaluate each method based on our concepts by greater variety of simulations to show advantages of our proposal and to formulate specific attractor selection models especially on issues for the future mobile network.
Our methods (narrative approach, concept maps) and findings also move beyond these studies in that they demonstrate how expertise, experience and context are used as a tacit skill and a way of seeing the practice world [ 27, 28], i.e., how tacit knowledge functions for the knower.
Our method uses concept analysis to automatically group the traces into highly similar clusters.
Using grounded theory methods, concepts and sub-concepts were elicited from the analysis of transcripts.
In Figure 1, we provide an abstract representation of the ontology resulting from our methodology where the nodes m i, d i, p i and c i are all ontology concepts and respectively correspond to matching concepts, derived concepts using our method, potential concepts (i.e., derived ones that present sufficient qualities to be considered for further processing) and the remaining concepts.
We found that adding 'qualitative methods' as a concept made our search strategy considerably more specific while retaining sensitivity, as demonstrated by the return of all the key papers identified in the scoping search.
