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Hence, the non-linear machine learning methods are of particular interest for global QSAR modeling, for which they need to be used in conjunction with thorough statistical validation and assessment of the applicability domain.
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However, the application of such an approach requires thorough statistical validation in each case due to considerable normal variation between individuals within the populations (pathologies) and frequent occurrence of mixed pathologies.
The manuscript is well written and the data are all very clear and well controlled, with thorough statistical analysis.
The predictive performance of (Q SAR models can then be evaluated with numerous statistical validation techniques.
Comprehensive experimental analysis, carried on a number of benchmark data and backed-up with a thorough statistical analysis prove the usefulness of the proposed approach.
There was evidence that the journals with the more thorough statistical review process reported a more complex and wider variety of statistical techniques.
We applied a robust and direct approach45,46 allowing the characterization of genome duplications by aligning the available genes (36,376) on themselves with stringent alignment criteria and statistical validation.
Statistical validation was done with the Student's t test.
A larger MTC database did not significantly compromise the statistical validation of the data with Mascot.
The use of a thorough statistical modelling approach (Gaussian Process Regression), with the selection of the most appropriate covariates (monthly precipitation, temperature datasets and bioclimatic layers), allowed to predict the rainfall erosivity based on climate change scenarios.
Therefore, a statistical validation of clusters should be supplemented with other validation sources, including qualitative data.
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