The mutations identified in these 84 families add to the increasing data set of the IPCRR of detailed clinical information and corresponding molecular data of individuals with PC.
This is in contrast to fold changes in which increased data set variance can randomly produce more extreme fold-changes.
In contrast to previous analyses of mitochondrial genomes the increased data set recovered the classical echinoderm phylogeny of Eleutherozoa and Echinozoa in Maximum Likelihood and Bayesian analyses using hemichordate out-group representatives.
Further, with increasing data set size, phred cutoffs limit erroneous sequences to a smaller sequence pool.
Suppose { ( x i, f i ), i = 1, 2, …, n } is a given monotonically increasing data set.
Clearly, these conclusions rely on the sampling, and could be changed with increasing data set.
Still, increased data set size can pose a problem for congruence tests that involve pairwise comparison (Planet and Sarkar 2005; Leigh et al. 2008).
Concurrently, emerging methods provide new virus host linkage capabilities, but do not scale well with increasing data set size and complexity (e.g., Andersson and Banfield, 2008; Tadmor et al., 2011; Allers et al., 2013a; Deng et al., 2014).
The mathematician Samuel Arbesman predicts that as our computers continue to get smarter and are applied to ever increasing data sets, they'll begin to make discoveries that we can't even understand, much less uncover ourselves.
This technique achieved an F-score of 52.5%, and although the performance achieved falls short of human level accuracy, with an increased data set size this can be expected to improve, particularly within this restricted domain.
