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In this chapter we describe some of the most common computational methods used to gather structure activity information of epi-drugs.
Large-scale Monte Carlo simulations are the most common computational approach for modeling radiation transport, but, in some applications, the time required for such simulations can make them impractical and the required computational resources can be prohibitive.
22 The most common computational method to assess these critical biomarkers is the hazard Cox regression model.
The article is organized as follows: in Section 2, we formally define the SIH reconstruction problem and its most common computational models.
One of the most common computational approaches to delineate functional interaction networks is based on Bayes integration [ 91, 92] or on a statistical method for combination of p values from individual data sets [ 93].
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Matrix vector multiplication kernel is one of the most important and common computational operations which form the core of varied important application areas such as scientific and engineering applications.
The most common approach in computational prediction of protein function is to use sequence or structure similarity to transfer functional information between proteins [2].
MSARC is available at http://bioputer.mimuw.edu.pl/msarc Determining the alignment of a group of biological sequences is among the most common problems in computational biology.
As a result, predicting wind behavior around naturally ventilated buildings has become important and one of the most common prediction approaches is computational fluid dynamics (CFD) simulation.
Computational design is one of the most common tasks of immersive computer graphics projects, such as games, virtual reality and special effects.
Numerical integration is the most common and straightforward approach in computational neuroscience for the study of biological neuron models based on ordinary differential equations.
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