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Nonetheless, it works on any data set, independent of the data transformation methods used [31].
The advantages of the data transformation procedure are further confirmed using two published large-scale quantitative interaction datasets; one obtained with the GIM screening approach and the other with the E-MAP approach (Table 1).
To confirm the good performance of the data transformation observed in the SGA dataset, we next evaluated its relative merits in another 'non-zero-centered' dataset measured with the GIM screening approach.
It was also hypothesized that in the custom-scored datasets, such as E-MAP, this kind of data pre-processing would provide only a marginal, if any, contribution to the overall performance of the data transformation procedure.
The purpose of the data transformation is to improve the scoring of the various interaction classes using the double-mutant fitness measurements together with the single-mutant fitness estimates, obtained through the matrix approximation procedure.
We are, therefore, not reliant on the suitability of the data transformation method chosen.
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In this case, however, the B implementation of each module was available as reference for the refinement of the test data (transformation of abstract to concrete data).
The experiments show that (i) random combination of transformation operators across different dimensions outperforms most of the conventional data transformation operators for different kinds of datasets.
The most common argument against the use of data transformation is the problem of interpretability in effect size estimation.
An FDA guideline [ 19] postulates that a rationale for the choice of data transformation along with the interpretation of the estimates of treatment effects based on the transformed scale should be provided.
Because a fuzzy-set score can be any number between 0 and 1, it can avoid information loss in the process of data transformation and more accurately reflect the situations of the chosen cases.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com