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Based on this methodology, we developed the Development Strategy Simulator (DSS), an automated and integrated decision-support system.
Moreover, the methodology we developed could be utilized to identify gene signature biomarkers to guide clinical development of novel cancer therapeutic agents.
What we think is robust is the methodology we developed to add up supply, demand, and emissions.
The methodology we developed unfolded as follows.
In this paper we present a formative evaluation methodology we developed, called Data-Driven Retrospective Interviewing (DDRI).
By applying a use case-driven iterative methodology, we developed information models and ontology to represent the content structure of the recent National Climate Assessment draft report and its associated provenance information.
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Adopting a design science research methodology we develop and test a collaborative ICT-based tool called UrbanSense.
We review recent Bayesian network inference methodologies we developed to infer genetic and metabolic pathways associated to oncological drug chemoresistance.
After a systematic review of existing workforce planning, forecasting, and foresight methodologies, we developed a new model for foresight of the Health Supply and Medical Professionals Education in Iran.
To overcome limitations of current methodologies, we developed Differential Feature Index (DFI), a non-parametric method for characterizing distinctive gene features across any number of diverse RNA-seq experiments without inter-sample normalization.
Following the discussion of commodity futures pricing and replication of commodity futures, we apply the swap engineering methodology that we developed earlier to price and replicate commodity swaps.
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