We propose and apply an iterative in silico procedure for predictive reconstruction of the network topology of metabolic pathways.
Accordingly, it is important to assess the performance of procedures for estimating predictive accuracy in genomic prediction studies under a variety of realistic scenarios likely to be encountered in plant breeding research and practice.
The design procedure for multivariable predictive controller is summed up.
A forward selection procedure for selecting predictive markers with p<0.05 was used to create a multivariate Cox model.
ROC analysis and the AUC measure are described in detail e.g. in [ 39]. 10-fold cross-validation is a very common procedure for estimating predictive accuracy.
The training set was used as an input to the GA procedure to search for predictive models.
Procedures for assessing model predictive performance or accuracy are discussed, including model discrimination, calibration, and power.
As soon as one "tries out" many procedures for assessing added predictive value, however, there is a risk of conscious or subconscious "fishing for significance" – in this case "fishing for added predictive value".
Therefore, there is a need for an appropriate procedure, e.g. predictive ability criteria, to rank models properly for a better choice of the model for genetic evaluation.
Besides a goodness-of-fit procedure such as the one used in this work, an appropriate procedure, e.g. predictive ability criteria, to rank models properly for genetic evaluation in large field applications is needed.
