Let a sequence of positive real numbers divergent to, and for each and, is the average given by (4.5).
where { α n } is a sequence in ( 0, 1 ) and { λ n } is a sequence of positive real numbers divergent to ∞.
where C is a nonempty closed convex subset of a real Hilbert space H, u ∈ C, { α n } is a sequence in ( 0, 1 ), { t n } is a sequence of positive real numbers divergent to ∞.
for each in a Hilbert space, where is a sequence in, is a sequence of positive real numbers divergent to, and, for any and, is the average given by (1.10).
u n = α n u + ( 1 − α n ) 1 t n ∫ 0 t n T ( s ) u n d s, n ≥ 0, where C is a nonempty closed convex subset of a real Hilbert space H, u ∈ C, { α n } is a sequence in ( 0, 1 ), { t n } is a sequence of positive real numbers divergent to ∞.
As expected, analysis of the number of divergent genes across species showed an increase of divergent genes and a decrease of conserved genes with increasing evolutionary distance.
This means that if 104 of the 5484 probes that are called present for MRSA252 by an analysis method are false-positive, the PPV would be 98.10% (5380/5484) The negative predictive value (NPV) is the number true divergent sequences divided by the total number of sequences indicated as divergent.
While Entropy provided the highest number of divergent regions of the longest size, Weighted provided only a small set of the most divergent regions.
When L b >0 sites are positively selected, we generate the number of divergent non-synonymous sites over the deleterious portion of the sequence using Equation (7) and the number of divergent beneficial sites is generated from a truncated Poisson distribution with mean u A L b t ω(s b, N), capped at L b.
In conclusion, Entropy seemed to provide not only the highest number of divergent regions, but also the longest ones; in contrast, Weighted was the most restrictive, providing the lowest number of divergent regions, which were also slightly shorter.
