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The shadow and highlight pixels are considered as missing data, with the objective of reducing their influence on the result.
In the proposed solution, multiple training is avoided (only one classifier is used) and occluded weak classifiers are considered as missing data.
Negative values of Affymetrix measurements are considered as missing.
Genotypes with posterior probability (or CHIAMO score) lower than 0.98 are considered as missing data.
In the model, the differential expression categories are considered as missing information.
If the missing data are not dependent on either past or present observed variables (such as HRQoL level), then they are considered as missing completely at random (MCAR).
Similar(53)
There was a small number of missing values (4 missing points in the ZDRS measurements) which were considered as missing completely at random (MCAR).
Those CNEs that had no significant match in a percomorph genome were considered as missing in that genome.
For the Golden and Platinum Spike datasets, data were considered as missing when probe sets were not called present by the MAS5 algorithm.
If it is not applicable, then it cannot be considered as missing and should be removed from the analysis model.
As the confidence level of calling heterozygous state (hets) was low all were considered as missing data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com