A general set of quantitative model assessment and analysis tools, termed high-dimensional model representations (HDMR), have been introduced recently for high dimensional input output systems.
Statistical analysis was performed by Seralogix, LLC, Austin, TX, employing their computational tools termed the BioSignature Discovery System (BioSignatureDS) to determine significant gene modulations via a Bayesian z-score sliding window threshold technique and fold change.
The tool Term Finder [ 39] is used for this purpose, which calculates a p-value for each biological process using the hypergeometric distribution.
The new tool, termed as Hardware Composites, involves a graphical construction which is explained along with the principles and the rules that underlie the partitioning.
In this paper we present a holistic approach and supporting software tool, termed the Computer Aided Manufacturability Analysis CAMAA) tool, for capitalizing on available manufacturability knowledge.
In this method, a general set of quantitative model assessment and analysis tool, termed high dimension model representation (HDMR) is employed to construct metamodel.
Finally we develop a visualization tool, termed hazard temporal contingency map, which dynamically displays the "coordinates" of a portfolio of hazards.
This identification tool – termed the "full discriminant model tool" – correctly classified 90.6% of the sample (ranging from 79 to 99% in the six segments; see Table 7).
The InterMine data structure readily allows the navigation of the stored biological data via the relationships between different data types, facilitated by an inbuilt tool termed 'query builder'.
This short identification tool – termed the "reduced discriminant model tool" – when applied to our dataset, correctly classified 83.8% of the sample (ranging from 60 to 97% in the six segments).
