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High-throughput analysis of large amounts of data using scripting or graphical interfaces has become prevalent in many computational fields, including neuroimaging [4], [8], [9].
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Many computational techniques have been used in this field, but the one that emerged by the end of 1970s as, by far, the most widely adopted is the finite-element method.
The generation of molecular conformations is an essential part of many computational analyses in chemistry, particularly in the field of computational drug design.
Many computational models have predicted that large electromagnetic (EM) fields localized at the junction between metal structures [7, 8].
The method is used in many computational fluid dynamics packages.
Many computational methods to predict logP have been described.
Furthermore, many computational issues have to be addressed.
Many computational methods for identifying phosphorylation sites have been developed.
Many computational methods predict variant effects.
Efficient and effective computational methods are essential for solving many computational biology and computational medicine challenges.
Many computational models (Hummel and Biederman 1992; Wallis and Rolls 1997; Riesenhuber and Poggio 1999) assume invariance for face/object position in the visual field ("position invariance") for reasons similar to those for size invariance.
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