Remarkably, the upregulation of SpCDC5-like and SpPRP19/hPSO4-like [131], both essential proteins for interstrand crosslink processing in a specific error-prone recombinational repair pathway [132].
In this case, we use a specific error metric based on model fitting to estimate the reliability of reconstruction and object detection.
In our context, the primary assumption in this model is that a couple's birth spacing decisions are independent of those characteristics of the individual children in the family that are also related to educational outcomes.[16] As a result, the omitted parental characteristics as, for example, concern for or time spent with the children can be captured in a family-specific error term.
We propose a classification based on three characteristics: (1) The uncertainty across all haplotypes (1a, "overall error measure"), versus the error in a specific haplotype (1b, "haplotype-specific error measure").
In addition to variation in coverage, there may be sequence dependent variation in nucleotide specific error rates.
The bit sequence is in error if at least one of its bits is in error; thus for a specific bit error probability, the more the feedback bits are, the more likely an error occurs.
In the multi-dimensional case, where the waves propagate in all directions, there is an additional specific error resulting from the discretization of spatial derivatives along the grid lines.
SSE are likely to bias estimates of sequence diversity as they will lead to falsely inferred SNPs in specific error prone sites.
Instead of estimating the error in a specific norm, the proposed novel error estimation approach which is called dual-weighted residual error estimation, approximates the error with respect to the quantity of interest.
Studies were included if they were published in English and identified causes in relation to specific errors or near misses that staff members either made themselves or were directly involved with.
