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To visualize the course of anti-human HSP60 IgG1 and IgG3 over time, subclass antibody levels for the SpA group (n = 39) were plotted and a line was drawn connecting the serum samples from 2006 and 2010, respectively.
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Some original subclasses have been divided into smaller subclasses over time and thus have been shifted around and out of order.
Its application to the important subclass of linear time invariant systems is investigated more specifically.
Anderson et al. [8 10], Fleischer and Sethuraman [11] and Pullan [12 16] investigated a subclass of continuous-time linear programming problem, which is called the separated continuous-time linear programming problem and can be used to model the job-shop scheduling problems.
Throughout time, the fortunes of the subclasses have waxed and waned, with repeated modification of form allowing repeated diversification into different habitats.
We then present a subclass of discrete-time switching systems that arise frequently in practical applications.
We present a method that allows to check non-Zenoness on a restricted subclass of real-time processes.
PARE uses a non-linear score to classify gene pairs of interest into subclasses of various time lags.
All integrated yeast TI pairs were classified into subclasses with distinct time lags based on their PARE scores with the default weights (1, 1, 3.5).
For expression data, in which each type of interaction (e.g. activator target) and the corresponding paired gene expression pattern are significantly associated, PARE uses a non-linear score to classify gene pairs of interest into a few subclasses of various time lags.
Once the dataset passes this filtering step, among subclasses with a few time lags, PARE proceeds to classify each gene pair into a particular subclass in which an interaction occurs most probably.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com