If the expected overlap equals the absolute upper bound, the sample coordination is maximal.
In this article we present a set of new methods for maximizing the expected overlap, which can handle realistic situations when strata and the associated sample sizes are large.
These methods include one that not only maximizes the expected overlap but, for any initially selected sample, maximizes its overlap with the second sample; its superior performance is illustrated with numerical examples.
On the metaphase Y chromosome, probe "D" detected the expected overlap with probes "B" and "C".
Based on these findings and following Nunn [10], we regressed expected overlap on the number of females (mean slope = 1.06, with 100% of coefficients positive; mean λ = 0.81).
The expectation of ∼165 overlaps in the absence of sex-specific effects was calculated as follows: expected overlap = (number of significant transcript/marker pairs)* [fraction true positives]*[power]+[fraction false positives]*[overlap between false positives]).
Because of the expected overlap in the patterns of gene expression in the glomerulus gene set with the normal cortex, we focused our analysis on the cortex gene set.
Regarding the first issue, parent-offspring conflict over mate choice in contemporary Western populations has been found to contain considerable conflict of interest, as well as some expected overlap, in preferred attributes [28] [31].
For measures of the temporal distribution of females, we used (1) data on estimates of estrous overlap based on demographic and life history parameters and (2) two proxies for expected overlap based on breeding seasonality.
Although many repetitive element regions are distinctive enough to permit unique mapping of 35 or 50 bp sequence reads, underrepresentation of repetitive elements in the "mappable" genome may also contribute to the lower than expected overlap between DMEs and several repeat classes.
The average over all simulations represents the expected overlap.
