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Subsequently, we provide a phase performance evaluation based on VSE, which includes phase identification, two kinds of phase performance indicators and ranking method.
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We did not use more complex models that included growth or decline because we wanted to assess PHASE performance under a best-case scenario, where the underlying assumptions of neutral coalescence within a single unstructured population of constant size were satisfied.
This second phase performance deterioration was accompanied by an increase in generalised astrocyte reactivity.
Figure 5 The initialization phase performance comparison (IEEE 802. 11).
In the first phase, performance of the ML-based parameter generation was assessed.
All genotyping information (including grandparents) was used to obtain phase performance values.
The average of the sensitivity, specificity, and accuracy for these ten distributions is considered as the initial training phase performance.
Again, during the test phase, performances of random and control flies were indistinguishable (Figure 4).
Ignoring pedigree information had a negligible effect on the phasing performance but did increase computation time in the larger datasets.
The phasing performance was robust to effective population size, pedigree and data structure, and SNP density.
The various forms of vitamin B12 in cytosolic and mitochondria enriched fractions were analysed by HPLC as described [8]. the method was adapted from Miller et al. [34] as described [35] and is based on a reverse phase high performance liquid chromatography technique using a linear acetonitrile gradient.
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