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From (49) we infer, using the maximum principle, that z n + 1 ≫ 0 in [ 0, 1 ].
Our greedy geneset selection (GGS) algorithm uses pairwise gene expression correlation (Pearson's correlation coefficient: rP) to identify sets of correlated genes, and within those sets selects genes to directly measure and genes to attempt to infer using the directly measured genes.
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The evolutionary relationships were inferred using the neighbor-joining method.
Orthologs are inferred using the Reciprocal Smallest Distance algorithm.
The phylogeny was inferred using the Maximum Parsimony method as described in the methods.
The most likely K (number of groups) was inferred using the DeltaK criterion50 with STRUCTURE HARVESTER51.
Additional evolutionary analyses of the isolates of interest were inferred using the Maximum Parsimony (MP) method.
The phylogeny was inferred using the Neighbor-Joining method as described in the methods.
Population history was inferred using the Bayesian skyline plot with six groups of coalescent intervals.
Next, the significance of interactions between TF->TF and TF->TG were inferred using the "drivingforce.inferTRN" function in SINCERA30.
Supernova types are typically inferred using the spectra or photometric light curves (time series) of the supernova.
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