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It is fortunate that many atom mapping algorithms have been developed, but which is most suited to predict atom mappings for a genome-scale metabolic network reconstruction?
Various tone mapping algorithms have been proposed in the scientific literature.
Different mapping algorithms have been proposed for NoCs which allocate a set of IPs to given network topologies.
Therefore, many tone mapping algorithms have been developed for transforming an HDR image effectively into an LDR image, so that appearance of the original scene can be reproduced on the LDR displays.
Yet many mapping algorithms have been found to systematically overpredict EQ-5 D utility values for patients in poor health.
We also confirm recent results that mapping algorithms have shown to over-estimate the HRQoL at the poorer heath states.
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90 studies reporting 121 mapping algorithms had met the study inclusion criteria, of which 22 involved indirect mapping, and 28 corresponded to musculoskeletal disease.
In addition, the study sample was relatively healthy and as such it is also possible that the best performing model specification and type would have differed if the mapping algorithms had been estimated using a dataset with a larger number of respondents in poorer health.
Relative Allele Signal (RAS) scores, calculated using the 10 K MPAM Mapping algorithm, have been shown to be reliable and valid indices of allele frequency in pooled DNA [ 26- 32].
Subsequently, numerous mapping algorithm have appeared (Langmead et al., 2009; Li,H. et al., 2008; Li,R. et al., 2008; Lin et al., 2008; Schatz, 2009; Yanovsky et al., 2008), with improvements in both efficiency and breadth of functionality (e.g. ability to map paired-end reads; integrated SNP calling).
Relative allele signal (RAS) scores, calculated using the 10 K MPAM Mapping algorithm, have been shown to be reliable and valid indices of allele frequency in pooled DNA (Brohede et al. 2005; Butcher et al. 2004; Craig et al. 2005; Kirov et al. 2006; Liu et al. 2005; Meaburn et al. 2005, 2006; Simpson et al. 2005).
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