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This can be performed with generic methods mentioned in [ 72] such as literature data compilation, the gene association networks approach [ 73, 74] or by applying a heuristic approach, e.g., a genetic algorithm, which searches through the model space to find good candidates for the network structure with respect to a specified fitness function.
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The proposed method shares common ideas with previous generic methods for office layout.
The latter is the preferred version of the sub-procedure REG as it performs regression with group variable selection, while the former two are not grouped methods and will be used for comparison purposes in the simulations of Section 3. In the following, we state the regression methods with variable selection as generic methods for regression.
Although adsorption by the GCB could have been avoided or reduced by addition of toluene (although less practical when changing from extraction solvent to methanol/water), it was concluded that PSA was not compatible with a generic method for pesticides amenable to LC MS MS.
The most generic methods, as introduced with L ocARNA Willl et al., 2007) and F oldA lign (Torarinsson et al., 2007), use derivates of the full Sankoff algorithm (Sankoff, 1985) of simultaneous alignment and folding.
From the common methods used globally (5, 7– 20) (Table 1), we selected 4 representative generic methods (Table 2), together with generic equations and minimum data requirements, to determine their comparability.
Both generic methods detected all stx genes.
Blocks are dynamic sections of code with open scope, sometimes several lines long, that allow injection of specific behavior into otherwise generic methods.
This section presents a practical application of the generic methods outlined in Methods (Part 1).
To cope with this problem, we proposed a generic method to generate gestures, constructed independently of any configuration and therefore useable for different robots.
Therefore, we chose a state-of-the-art, non-linear, image restoration generic method with a high speed potential, named L0-AbS [22] for testing them, which is applicable to any kind of linear blur (SI or not), and which assumes presence of additive white Gaussian noise.
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