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The threshold for the validation is set to 0.5.
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The threshold for measurement validation was set to 15.1 for all experiments, which represents that a confidence probability of 99.99% according to the chi-square distribution table.
Validation was set at this level because higher values are associated with increased imprecision.
The number of clusters for cross-validation was set to 10 and SNPs with posterior probabilities of <0.9 were considered missing data.
Furthermore, a bootstrap-based calibration validation experiment is set up to evaluate the performance of the quasi-Muskingum model.
Phenotypic records of each line in the validation set were set to missing for all environments.
It is better if the known positive and negative training variants (validation) are independent sets from the validation sets.
Model validation is performed with experimental data sets from literature.
Model validation was performed using a second set of data.
Immunohistochemical validation was performed in an independent set of tumors.
Indirect transcriptomic validation was obtained on independent data sets.
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