The NDA mathematically identifies global TFs and remove them from the network.
Some prefer parsimonious models to reduce complexity and aid in the ability to determine (or in some cases mathematically identify) parameter values, but this may come at the expense of incorporating known mechanisms.
Validation of a reference gene requires removal of any non-specific variation in expression.This can be done using a recently introduced programme called geNorm (freely available at http://medgen.ugent.be/~jvdesomp/genorm/) that mathematically identifies the most suitable reference gene for a given experimental condition [ 10].
An alternative approach, therefore, would be to conduct a sensitivity analysis of source-apportionment results, to mathematically identify and quantify the effect of each species on the apportionment process source-indicative tracers for a given local source (Marmur et al. 2006, 2007).
Model parameter values must be assumed from clinical data or reports, or identified (mathematically) from clinical data.
The suitability of using Weber-Morris and Boyd plots to determine the dominating mass transfer resistance was critically evaluated, and mathematically analogous models were identified.
By means of micro cutting test series and statistical analyses, effects and interactions of process parameter variations for work piece material, cutting edge radii, cutting speed, and depth of cut were identified and mathematically quantified.
The influence of scattering properties on each of these components was identified and mathematically described using simulation outputs.
Tallymer (Kurtz et al. 2008), a de novo approach, was used to identify mathematically defined repeats in the BESs of all Oryza species.
The information gain measure is mathematically designed for identifying synergistic interactions that help explain a phenotype, beyond what is learned about it through the independent effects of SNPs.
