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One such study was performed by Chaussabel and colleagues [ 8], who used a 'modular analysis framework' based on the identification of coordinately expressed genes in disease datasets that form transcriptional modules.
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This framework is based on the identification of the various stakeholders of the enterprise and their roles in creating the knowledge.
This model is based on the identification of cognitive attributes and integration of two advanced measurement frameworks: cognitive diagnostics and Item Response Theory.
The analytical process involved: familiarization with the data (including data cleaning and checking for consistency), development and application of a coding scheme (or indexing) based on the identification of a thematic framework, charting and interpretation [ 26- 28].
These include the identification of the foundation theory, the thematic reduction of this theory to create the a priori framework, and the transition from the resultant framework (based on the a priori framework plus new themes) to the final conceptual model.
While gene clusters as used for COGs [ 3] or within the SEED framework [ 4] provide a valuable resource for functional annotation based on the identification of homologous genes, the domain based approach is focussed on modelling and detection of functional modules which usually involve only parts of a gene.
These translated ORFs were then validated based on the identification of a signal sequence, proregion (when present), and Cys frameworks.
The CardSpace framework is based on the identification process we experience in the real world using physical identification cards.
The phylogenetic framework based on 8 rrs sequences of C. subterminale allowed identification of 2 unique in silico RE digestion patterns with AluI and DpnII.
The identification of barriers was facilitated by drawing on a validated theoretical framework based on behaviour change theory.
By constructing our framework based on existing, generally adopted frameworks, we ensure a full evaluation of the 'BeweegKuur' study.
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