Both SBML and CellML use bio-ontologies to enrich model descriptions with semantic annotations, using Resource Description Framework (RDF) triples (46).
As prelude for studying more complex biological samples, hydrophobic methods were developed to enrich model systems in secosterol-modified peptides, and LC-MS/MS analyses elucidated a characteristic fragmentation pattern of secosterol peptide adducts.
The research, produced in collaboration with a variety of chemical engineering users of knowledge, promotes ontologies and semantically enriched models to enable knowledge sharing, classification, monitoring and reuse.
Additionally, we determined the type I error rate for a simplified version of the Broad-Enrich model excluding the smoothing spline [simple logistic regression (LR) model] to assess its necessity.
There exists considerable potential and flexibility to enrich the models presented in this paper as they are relatively small compared with the size of the problems that can be solved with current linear programming software.
Recently, methods for process mining have been developed to discover and enrich operational models based on a log of recorded executions of processes, which enables evidence-based process analysis.
Extending this limitation to a research suggestion, it may be possible to enrich the models used in this article with one or more variables regarding national legal frameworks (enabling a between-country comparison) in order to, for instance, investigate the role of investors' rights and interests.
And this step can be also more feasible by beginning integration of a small number of objects (2 or 3 such as mRNA, miRNA, TF) and to step by step enrich the models adding new data (DNA methylation…).
Because deployed controls for high-voltage direct-current (HVDC) lines are known to impact transients/oscillation across a wide area, we also enrich the model to represent modulated (controlled) HVDC, and analyze the zeros of the enriched model.
Although various other attributes and parameters could be applied to further enrich this model, the approach described provided a parsimonious yet effective model for describing the key spatiotemporal features of AI spread.
