Various types of constraints can be used in mining, such as knowledge type constraints, data constraints, dimension constraints, interestingness constraints, rule constraints, etc. Providing a means to apply certain constraints on the data allows users to be specific in their search, so that only those datasets satisfying the constraints are looked for in the database.
There are many different kinds of constraints such as knowledge-based constraints, data constraints, dimensional constraints, interestingness constraints and rule formation constraints [23].
While CFD is an addition to FD in that it specifies the subset of data where a constraint holds, our proposed "cause condition" specifies the subset of the data that contains conflict-causing errors.
We combine mRNA expression data with a constraint based framework through the following multi-step approach.
Binarization of expression data imposes a constraint that limits the usefulness of these techniques.
Fourth, utilizing the multi-tissue approach, the metabolic differences in obese and diabetic obese individuals were studied by incorporating gene expression data as a constraint on the metabolic networks.
In Figure 7 we show how to use population-level experimental data as a constraint when choosing a heterogeneity factor χ, defined as the interval size of the uniform distribution from which kinetic rate constants are sampled, as inputs to the pathway model.
Taken together, with available proteomic data, a comprehensive constraint-based model of erythrocyte metabolism was developed.
For each object affected by actual data, an availability constraint is incorporated into the simulation model.
In summary, we have developed a new method to combine microarray data with a constraint-based formalism to gain deeper understanding of the system-level metabolic behavior of cells following a wide range of perturbations.
