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Culture based methods are usually used to investigate biochemical and genetic diversity by selecting a particular population of microorganisms [ 9].
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Briefly speaking, convergence of gradient based methods is usually tested by checking first order optimality conditions, which are a necessary condition for local optimality of the least squares parameter estimation to Gaussian approximation and, in turn, a necessary condition for local identifiability of the model (see [ 2, 35] and Methods).
PDE-based methods are usually based on the assumption that the illumination varies smoothly, while the reflectance changes at sharp edges.
These network-based methods are usually relied on a "disease module" principle that functionally similar genes are associated with similar phenotypes or diseases.
The feedstock material may be supplied in powder or wire form, but powder-based methods are usually preferred due to their better reproducibility.
Restriction-enzyme-based methods are usually used to enrich either the unmethylated or the hypermethylated fraction of gDNA.
Culture-based methods are usually applied to detect S. pneumoniae from patient samples and to differentiate it from other less pathogenic viridans streptococci, frequently encountered in respiratory samples.
Distance-based methods are usually computationally efficient but tend to be inaccurate since pairwise distances reflect only small information of two taxa, while quartet-based methods are more accurate since quartet contains the information of four taxa.
Usually, local interpolation based methods are used to repair spike affected regions [29].
Market-based valuation methods are usually based on industry benchmarks.
Stochastic methods are usually based on local adaptivity for resolving discontinuities in the stochastic dimensions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com