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Multiple logistic regression models were built using the strategy suggested by Hosmer and Lemeshow [ 41].
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Similarly we compared the score of core collections built using the H strategy with purely random core collection of the same size.
Not surprisingly the score of core collections built using the M strategy was much better than pure random sampling when considering marker loci only.
Prototypes built using the new design strategy achieved about 90% reduction in weight and number of components while enjoying an 80% reduction in costs.
The SNP matrix from the 22 plasmids and the reference plasmid built using the k-mer strategy of kSNP consisted of 338 informative SNP positions.
The SNP matrix, including the same S. Newport and S. Typhimurium outgroups, built using the k-mer strategy of kSNP consisted of 41,432 variable SNP positions with 10,873 being informative.
A Markov chain that satisfies the desired invariance condition can be built using the following Metropolis-Hastings strategy [15, 18].
All LMs were built using the Kneser-Ney discounting strategy using the SRILM toolkit [98], and the final interpolated LM was obtained using the SRILM static n-gram interpolation functionality.
Core collections of S. l. cerasiforme accessions were built using the Maximization or M strategy algorithm implemented in MStrat software v.4.1.
In addition, models built using this strategy often fail to adequately reproduce the known behavior of the target system [ 7- 10].
The proofs are constructive in the sense that it is explicitly shown how a strategy for one type of game is built using a strategy for the other type of game.
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