Univariate median regression was implemented to identify characteristics associated with mean score.
Finally, an automated approach is implemented to identify the required threshold parameter for the algorithm.
In each step, economic evaluation is implemented to identify the most feasible alternatives.
Comparative genomics analysis was implemented to identify genes candidates associated with α-KG production.
Diverse statistical analyses are implemented to identify the bounded probability profile of the uncertain structural responses.
A sensitivity analysis among the state variables and some auxiliary variables were implemented to identify their internal relationships.
Additional functionality for calculating a natural product likeness score for small molecules is implemented to identify possible drug candidates.
Advanced data analysis was developed and implemented to identify the number of delaminations at every scan position.
An occupant survey was implemented to identify the primary requirements and perceptions from different types of stakeholders of the buildings.
Moreover, a sensitivity analysis is implemented to identify how the system performance changes regarding the variation of key design parameters.
Further, it is possible to calculate distances between geo-objects (Figure 2E) and, finally, a query tool was implemented to identify distinct GMO fields.
