The result is a general recasting of all existing approaches in a plug-in based formulation, allowing us to vary the parameters to create instances of each technique, and empirically evaluate them on a common set of subjects.
However, if the genomes in question do not share a common set of genes, or if they cannot be aligned to each other, e.g., due to substantially different lengths, these traditional techniques cannot be applied.
Although TFBS is a relatively limited technique for probing transcriptional regulatory networks, these data suggests that different compounds perturb a common set of biological pathways, but by different regulatory mechanisms.
We have a common set of objectives.
But we believe in a common set of ideals.
It did not envision a common set of economic regulations, or even a common currency.
The involved blob sets allow to easily implement classical screening techniques, as described in Section 2. Finally, partial worlds (hypothesis sets) are merged if the objects at each hypothesis set are sharing a common set of involved blobs (visual evidence).
However, design criteria can have a common set of goals.
Comparing phonemic solutions with a common set of criteria.
Hence, a common set of eigenfunctions exists for both operators.
