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Among meshless techniques, RBF (Radial Basis Functions) based methods can be simple and general to solve the problems related to multiple areas of applied physics and engineering.
Numerical modelling of particulate composites is one of such ideal engineering applications where particle based methods can be effectively used due to their simplicity and robustness.
Alignment based methods can be further divided into sequence alignment based and structural alignment based methods.
Liao and Zhang's method addresses issues related to the second step, while co-expression based methods can be applied to both steps.
Single-gene based methods can be subdivided into three major classes.
The DNA sequences obtained from non-cultured based methods can be identified post-hoc (placed phylogentically) as closely related sequences are obtained from morphologically identified conspecifics.
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Current gene-based or pathway-based methods can be divided into three categories based on the data they use: case control [ 21, 22], family [ 11, 23], and p-value based methods [ 24, 25].
The regression-based methods can be used to obtain HbA1c predictions based on a single value of either FPG (Method 1) or MPG (Method 2) at steady state.
A least squares solution for energy-based methods can be found in [4], in which the power law model is verified.
To reduce memory usage decomposition-based methods can be successfully applied.
Model-based methods can be successfully used for thermal process design, optimization and control.
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