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Cooperative coevolution decomposes a problem into subcomponents that are evolved in isolation and cooperation typically involves fitness evaluation.
ICA separates multiple signals into additive subcomponents that are statistically independent (see online supplementary information for an intuitive explanation of ICA).
ICA is a data-driven multivariate analysis method that can be used to separate any multivariate signal into subcomponents that are mutually statistically independent.
This data set consists of the anatomy ontology components at each timed stage along with each of the child subcomponents that are 'part-of' that particular component.
Because of the considerable importance attached to different types of facial information, the most efficient way to analyze this information is thought to involve different neural subcomponents that are optimally tuned for particular types of facial signal (Bruce and Young 1986; Haxby et al. 2000).
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Although each of the components was met by at least 45percentt of submitted policies on initial submission, patterns emerged among subcomponents that were missing.
In the latter representation, the sequence information of the large ligand (list of subcomponents that constitute a large ligand) is also defined in the CCD.
Seasonal patterns of ET fluxes were more dynamic than GPP due to the presence of distinct subcomponent processes that were uniquely governed by several environmental factors.
Besides [6], Donoho and Huo [28] have suggested that the selection of distinct bases that are adapted to different subcomponents will facilitate separation.
This results in tumors that are driven by a cellular subcomponent that retains stem cell properties.
There are multiple subfamilies of SWI/SNF chromatin remodelers that are determined by their respective utilization of paralagous subcomponents.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com