In the present report, we introduce template based rotation,1 a novel analytic approach optimized for use with a priori network parcellations, which may be particularly useful in clinical trial settings.
Using SHORE's scoring matrix approach optimized for heterozygous SNP detection and stringent filtering (requiring uniqueness of reads, minimum 10× coverage, minimum 20% allele frequency, SHORE SNP quality score >25), 354,080 SNPs could be identified (Supporting Information, Table S2).
Uncertainty of the cost function is indirectly addressed: the approach optimizes for the expected value of profit.
Expansion of the published analyses to include recent methodological approaches optimized for the types of data used could provide a richer analysis of these studies and may result in alternative findings.
The simulations were conducted with approaches optimized for different objectives, for example low computational cost, or in another case, short turn around.
These findings also inform study design by allowing researchers to select sampling approaches optimized for their chemicals of interest and study goals.
There is considerable work ahead, with several potentially fruitful research areas, including the development of (i) hardware and software for data acquisition, (ii) efficient, calibrated, automated detection and classification systems, and (iii) statistical approaches optimized for this application.
Approaches like ICA are quite often linear, and can thus be quite readily interpreted, and the most widely-used ICA approaches optimize for both independent and sparsity measures with considerable success [ 63].
In this perspective, I suggest that expansion of Shekalaghe and others' analysis to include newer complementary approaches specifically optimized for time-to-event data provides a richer and more comprehensive view of these important results.
The method extends the IEEE Recommended Practice for High Level Architecture Federation Development and Execution Process by providing an approach for optimizing the allocation at the design level.
This paper proposes an approach for optimizing the control of chaotic systems with input saturation using an input-state linearization scheme.
