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Substantial amounts of 21 34% incorrect rates were decreased to only 4 5% through correction by the current algorithm.
We also used this proportion as the rate of total copy numbers correctly inferred by the current algorithm, because total copy numbers can be obtained simply from diplotypes.
Although the patient was identified as having VDPV2 infection by the current algorithm, if special interest had not been taken to characterize both isolates, we would not have detected the VDPV2 that produced false-negative results in the screening assay.
One limitation is that the performance of attribute matching is still low because some attributes were embedded in the context that could be difficult to understand by the current algorithm.
In all the cases, the accuracy of diplotypes inferred by the current algorithm was greater than 90% even at a sample size of 50 and greater than 95% at a sample size of 100 or more.
Most importantly, improvement by the current algorithm from the previous algorithm was greater in the case of two SNVC sites, which is more complicated than the single ICN and SNVC cases.
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Limitations of the current algorithm are investigated by increasing the angular separation between the X-ray beams used to produce the perspective images.
The innovation and limitations of the current algorithm are discussed, followed by proposals for extensions and further research.
Moreover, the current algorithm for bone segmentation could be improved by more advanced algorithms.
The current algorithm is computed serially.
By using the current algorithms according to bibliographic recommendations we found that miR-145 could be predicted with high specificity as a candidate regulatory microRNA for DDC expression.
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