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The association between copy number levels and expression estimates was quantified by fitting a linear model between continuous copy number estimates (segment means) and log2-transformed normalized expression estimates and testing the slopes for significance.
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Carpenter et al. [19] use 1.98 g/cm3 when estimating segment mass.
Errors in estimating segment length would be comparatively unimportant.
In the Nordic dataset only the reference set was used to estimate segment variances.
We also took a closer look at the overall accuracy of estimated segment number, in Table 4.
In the Australian data all of the available data was used to estimate segment variances to maximize the data.
The prediction is done by comparing the estimated segment mean with a threshold (t) varying from the maximum to the minimum of the simulated value.
Taking into account the power advantage of our method in the performance comparison, this finding indicates that the estimated segment boundaries are more accurate in our model.
The sizes of the DNA fragments that resulted from the restriction digests were consistent with these estimated segment lengths; therefore, each of the three inserts seemed to include the expected 10 segments in the expected order and orientation (Fig. 3).
It has recently come to our attention that one research group is developing a multitrack segmentation method for estimating segments common across sources, while taking heteroscedasticity and different mean levels into account.
We compare this sample to an Arctic-specific model of population structure in order to identify and estimate segments of the population missing from the sample.
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