The PLS model with cross-validation was constructed to predict the content of SOM, and the best prediction model was calculated using spectra with the linear exclusion in selected range (RPDv = 1.92, Rv2 = 0.74, and RMSEP = 8.16 g kg− 1).
Also, genomic-enhanced breeding values (GEBV) blending PAadj and DGV obtained from K-means clustering and cross-validation, was constructed as: GEBV = b 1 P A a d j + b 2 DGV, where b1 and b2 were estimated using multiple regression with DEBV as the response variable.
An independent validation dataset was constructed using fresh frozen tumor tissue of 24 patients with an HNSCC originating from the oral cavity, the oropharynx, or the larynx.
The final SVM model, trained using the eight diagnostic miRNAs and the whole of validation set 1 was constructed for use in a second round of validation.
In addition, we also used independent test to evaluate the proposed method because an independent validation test dataset DSte was constructed as mentioned in Section 2.1.1.
After validation, a final genome sequence was constructed for each Buchnera Mp chromosome and plasmid.
A total of 66 clinicopathologically well-annotated fresh frozen MBC tumors were analyzed using Illumina Human HT-12 bead arrays, and a tissue microarray with 220 MBC tumors was constructed for validation using immunohistochemistry. Two external gene expression datasets were used for comparison purposes: 37 MBCs and 359 FBCs.
An experimental platform of a 1 kW air motor was constructed for model validation.
Therefore, an individual's risk was constructed from the validation data by the following formula: Risk = 1/[1 + exp(- βX)] where β X is the sum of the reference risk and the product of the 5-year risk constant and the individual points [ 34].
A model for risk of death as a function of the factors was constructed using cross-validation and Akaike information criterion (AIC) 24 for model selection.
A smaller SimPops was constructed in rats for the validation against the experimental data.
