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The scenario is also true for applications in isogeometric analysis (IGA).
This is especially true for applications that call for a variety of parametric components.
Any service application should be able to handle poor data, and this is especially true for applications deployed in critical environments.
For our analysis, we did not use a fold change cutoff since we feel that artificial fold change cutoffs, which exclude subtle changes in the expression of many genes, may result in the loss of valuable biological information, or worse, affect the interpretation of the data – this is particularly true for applications such as network/pathway analysis [ 16].
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This is also true for application software.
This is true for application service providers (ASPs), as they continue to morph their business models.
The same is true for software applications and servers.
This is even more true for imaging applications.
That's doubly true for mobile applications.
This is as true for topical applications as it is for systemic therapy.
This is particularly true for biometric applications that require matching a large number of high-dimensional feature vectors in real time.
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