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Multivariate linear regression (MLR) analysis, one of the oldest data reduction methodologies, continues to be widely used in Quantitative Structure Activity/Property/Reactivity (QSAR, QSPR, QSRR) studies [10, 68, 69].
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In other words, all the new methodologies continue to iteratively observe the common development phases of: requirement definition, analysis, design and implementation [27].
Recent feedback from representatives from clinical trial sponsors and translation companies confirms that current LV methodologies continue to differ across companies.
Improvements in instrumentation and statistical methodologies continue to elucidate ECoG correlates of normal human function as well as the ictal state.
Despite the discovery of copy-number variation (CNV) across the genome nearly 10 years ago, current SNP-based analysis methodologies continue to collapse the homozygous (i.e., A/A), hemizygous (i.e., A/0), and duplicative (i.e., A/A/A) genotype states, treating the genotype variable as irreducible or unaltered by other colocalizing forms of genetic (e.g., structural) variation.
Top-down proteomics methodologies continue to evolve and can provide a useful alternative to the more commonly used shotgun strategies for protein characterization by mass spectrometry.
As costs decrease and bioinformatic methodologies continue to rapidly advance, the method we outline here may prove useful in selecting taxa for the study of molluscan paleopolyploidy.
(iii) On the basis of the observation that different methodologies continue to identify a non-mutually overlapping set of CNVs, one could conclude that the current methodologies are complementary to each other and utilization of multiple methods in order to maximize the CNV set under investigation could be considered.
This methodology continues to be utilized when conventional techniques are limiting or suboptimal.
Their methodology continues to gain greater acceptance (5).
Filters are increasingly reported in the literature [ 20, 21] and filter development methodology continues to evolve.
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CEO of Professional Science Editing for Scientists @ prosciediting.com