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Further development of various methods for phasing the diffraction data are also required and could possibly include heavy metal phasing.
However, state of the art statistical methods for phasing achieve phasing errors smaller than 1% (Browning and Browning, 2007; Howie et al., 2009) when large cohorts and dense SNP panels are used.
There are three basic methods for phasing: molecular, genetic, and population analysis.
Meanwhile, algorithmic development for genotype data has concentrated on statistical methods for phasing and imputation, based on probabilistic matching to hidden Markov model representations of the reference data, which while powerful are much less computationally efficient.
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An efficient preliminary design method for phasing maneuver is developed.
Long-range phasing (LRP) is a fast and accurate heuristic method for phasing of marker genotypes, which uses information from both related and seemingly unrelated individuals by invoking the concepts of surrogate parents and Erdös numbers, as defined in Kong et al. [ 6].
Determines structure through diffraction effects: the phase problem, Patterson function, and direct methods for phase determination.
We propose new collocation methods for phase-field models.
We introduce provably unconditionally stable mixed variational methods for phase-field models.
These attributes permitted us to derive accurate, efficient, and geometrically flexible collocation methods for phase-field models.
Existing methods for phase estimation in physiological signals often suffer from a lack of thorough description and standardization, which renders reproducibility and interpretation difficult.
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