The premise of Rasa Core is similar to the approach of a lot of AI startups that use services like Amazon Mechanical Turk to correct for uncertainty faced by machine learning models.
To correct for uncertainty in the multiple alignment, we discarded blocks whose synteny was inconsistent with local orthologous genes.
The results were based on a general linear model that was bootstrapped 1,000 times to correct for uncertainty.
An extension of the TDI analysis for wider beam DBS radars to correct for uncertainties in the actual beam direction, called HDI, was applied by Holdsworth and Reid (2004a) at MF and by Reid et al. (2005) at VHF.
The R values were corrected for the uncertainty in DYD, as proposed by [ 28], i.e. they were divided by the average reliability of the DYD of validation bulls.
The bootstrap analysis, which corrected for the sample uncertainty, revealed that the study results are quite robust.
However, due to sample-size limitation, when correcting for the uncertainty in both model selection and ROC-estimation cross-validation procedure, the analysis resulted in a corrected AUC of only 0.63.
Allowing for several sources of error in a frequentist analysis is more difficult, although [ 11, 17, 41] proposed a method for correcting for phylogenetic uncertainty, using a sample of trees from a phylogenetic bootstrap analysis.
If the reviewers meant to validate the QT-NASBA against another highly accurate method of determining gametocyte density, then we agree that this is a necessary process for us to have full confidence in the technique and our method of correcting for its uncertainty.
To correct for the uncertainty in the functional assignments of peptides having many significant alignments, rather than assigning a peptide to a single protein family we weight its contribution to total abundance values of all the protein families having significant alignment with that peptide.
