This approach generates lists with further candidates for detection and can further improve the performance of GL-SIC.
Unfortunately for this approach, the lists contain several problems, actually, blocks of problems - and they are most BIG!
One can generalize this approach to list the minimal arrow diagrams for an arbitrary k-OR case.
Nevertheless, by taking this approach any list of ranked genes is considered independent from each other and, consequently, behaviour of functional modules which are dependent on the combination of the studied ranking variables will, most likely, remain undetected.
The proteins identified through this approach are listed in Additional file 2. Notably, many of the proteins identified are readily known as substrates of protein tyrosine kinases.
Using this approach, a list of potentially deleterious variants from a structural perspective can be generated rapidly, providing a way to integrate structural analysis into the variant categorization scheme.
With this approach, the list developed covers a variety of cellular functions including intracellular signaling, intercellular communication, proliferation and cell death, gene expression, measures of integrated cellular function and integrated tissue function, and aryl hydrocarbon (Ah) receptor function (important for dioxin-like contaminants) (Table 1).
Moreover, this paper discusses the advantages of the approaches listed above to estimate the fatigue damage in solder joints of an electronic component and shows the effectiveness of sub-modelling techniques in the random vibration analysis.
There are significant uncertainties associated with the second approach listed above, and it also relies on climate model simulations.
Other processing settings are the same as those for the troposphere estimation approach listed in Table 1.
