Greater complexity can be iteratively incorporated into the framework presented here to explore additional risk factors including patient age as well as underlying co-morbidities and patient immune status.
With these techniques and the methodology, the analysts can intuitively choose relevant tasks and data, as well as iteratively incorporate their experience and expertise into the analysis process.
Throughout drug discovery and development, PBPK models can be refined iteratively to incorporate additional information on drug disposition and absorption from both preclinical and clinical studies as it becomes available.
If the overall performance of the classifier was not satisfactory, it would be iteratively refined by incorporating additional local classifiers.
An initial set of ab initio GeneMark-ES (GMES) [ 29] gene predictions was iteratively improved by incorporating these Trinity assemblies that were aligned to the genome using PASA [ 30] with BLAT and GMAP and with the TransDecoder option to estimate full length cDNAs.
The method developed by Gershenzon et al. [ 18] iteratively modifies the PWM by incorporating new putative binding sites located inside the identified functional window from the promoter sequence database until the best possible correlation coefficient is achieved as described below.
To compute all required long time averages of observables along particle trajectories, we propose an Eulerian approach by simply incorporating flow maps to iteratively interpolate those short time averages.
PISwap can begin with different types of network alignment approaches and then iteratively adjust the initial alignments by incorporating network topology information, trading it off for sequence information.
Then, we iteratively create the next-generation forecasts by incorporating the predictive skills of individual models into the current-generation forecast.
The method applied here began by identifying the 'best' explanatory variable and incorporating it into the model and then iteratively identifying the next 'best' predictor until the model could no longer be improved.
