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PCR based methods are generally accepted to have the best overall sensitivity and specificity but are limited in target size mainly due to the primer cost [ 16].
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From the experiments, we can find that RDAPD is less sensitive to the number of iterations, which is another advantage of RDAPD over SRAD and DPAD since the number of iterations in diffusion based methods is generally an important parameter.
Although nanotechnology-based methods are generally believed to be more expensive, we found instances where they offer cheaper and more effective alternatives to conventional techniques.
Solvent-based methods are generally best suited for use with fluorescently tagged antibodies as the reporter molecules, because genetically expressed fluorescent proteins tend to yield a weakened signal or be denatured by such treatments.
We show that while inappropriate for sentences, dictionary-based methods are generally robust in their classification accuracy for longer texts.
The results indicate that regularization-based methods are generally more stable in StarPlus dataset, but in Haxby dataset they failed to perform as well as others.
Therefore, PCR-based methods are generally not applicable for the amplification of short oligonucleotides that are only approximately 20 nucleotides (nt) in length.
Culture isolation plus strain serogrouping and PCR-based methods are generally considered as the reference standard for identification of N. meningitidis serogroups, since they are highly specific.
First, summary statistics-based methods are generally orders of magnitude faster than their genotype-based counterparts.
CTAB-based methods are generally recognized as suitable for extracting soybean DNA for GMO quantification purposes [ 22, 32].
The genotypic-based methods are generally effective, they only need a small amount of DNA (Tanya et al. 2011) and they are not affected by environmental factors or developmental stages of the plants.
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