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One way would be to reanalyze the initial datasets in a combined way as was done in mouse by assuming a common biallelic mode of inheritance in several mapping populations (Li et al. 2005a).
As shown in Fig. 4, Apriori algorithm produces removable candidate datasets C (candidate itemset) that have high frequency in the database D, and extends them to longer datasets L (large itemset) consisted from candidate datasets C. Note that the initial datasets in the database satisfy an essential prerequisite for performing trilateration, one of constraints.
First, a factor analysis was applied to the initial datasets consisting of 9 variables (8 explanatory variables including 4 climatic variables in the past and the same 4 climatic variables on the actual day, and 1 resultant variable defined by the daily pollen concentration of the given taxa) transforming the original variables to fewer variables.
Bootstrap analysis was performed on 1000 replicates of the initial datasets.
Most of phosphoserines from the initial datasets came from protein regions predicted to be disordered (Table 1).
The approach clearly shows significant improvements in the degree of correspondence found across datasets, without any loss of internal coherence within each of the initial datasets from which the integrated dataset is assembled.
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The initial dataset used for interpolation is 30 data points.
The initial dataset used for kriging interpolator is 30 data points.
The first step, data selection, aims at extracting quiet-time data from the initial dataset.
Curation was only undertaken on structures; the activity remains that of the initial dataset.
To filter out stocks with insufficient liquidity, the initial dataset is analyzed by subperiods.
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CEO of Professional Science Editing for Scientists @ prosciediting.com