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The distribution of missing data relative to the K = 3 Structure Groups is shown in Figure 3.
Focusing on orthologous targets through Hyb-Seq also reduces the amount of missing data relative to both transcriptome and RAD-Seq studies.
In practice, if one method systematically provided non-negligible missing data relative to other methods, then this would probably be grounds enough to question the utility of this method.
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Regarding missing data, the relative numbers were very low.
Observing the fraction of missing information, relative increase variance, and relative efficiency, the imputed data-sets were comparable with the original data-set.
Observing the fraction of missing information, relative increase variance, and relative efficiency, the imputed data-sets (n=139) were comparable with the original data-set (n=110) in terms of the imputed variables (data not shown).
Given that we find that excluding genes with missing data often decreases accuracy relative to including these genes (and that decreases are generally of greater magnitude than increases), there is little basis for assuming that excluding these genes is necessarily the safer or more conservative approach.
There were no missing data for temperature and relative humidity.
This estimate was based on counting markers as coming from the crop or wild relative (missing data were excluded).
RNA was analyzed for gene expression in 24 children and 44 adults (missing data n = 6) Relative IFNγ gene expression, normalized to glyceraldehyde 3-phosphate dehydrogenase (GAPDH) gene expression using the 2ΔCt method, negatively correlated with CD4+ lymphocyte methylation at CpG -186 (r = -0.38, P <0.01) and CpG -54 (r = -0.28, P = 0.02).
Data were imputed for relatives with missing data as follows: seven dates of birth; six vital status; four dates and ages at death; and one date and age at breast cancer diagnosis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com