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Significant clusters identified at a group level by such methods can then be deprojected and back normalized into individual subjects in order to provide quantitative information in each subject that can be statistically analysed.
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Combined with a coarse representation of the biological system by feature vectors, such methods can provide a flexible approximation of the molecular structure.
These false-positive results can be corrected by accounting for population structure; however, such methods can both induce false-negative results (where true small effect associations are removed) where population structure is highly correlated with phenotype.
Such methods can be complicated by the heterogeneity of recombination rates.
The weak order of all the moments of such methods can be improved by extrapolation.
Such methods can be useful in countries that lack access to expensive technology.
Such methods can be controlled every time.
Such methods can provide valuable insights.
Such methods can be exact or heuristic.
Such methods can be relatively expensive, low-throughput, and associated with pain suffered by the treated animals.
Stable, monodisperse sols can be obtained by such methods.
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