For the validation animals, the correlation coefficient between the GEBV and their observed phenotypes were computed to evaluate the accuracy of genomic prediction with various training datasets.
All the results of the predictions made with various kinds of SVM classifiers are available as Additional file 5. Hence, it is possible that these negative examples are potentially misclassified and are putative MSMG genes, functional in self-renewal and pluripotency maintenance.
The ground surface responses calculated by the 2D prediction models with various equivalent forces are compared with those calculated by the 3D prediction models.
To study such failures, this paper compares experimental results with predictions of models with various levels of complexity.
The model predictions are compared with various experimental data and good agreement is found.
DNA methylation of cytosine residues resulting in the formation of 5-methylcytosyine, primatily at cytosine guanine (CpG) dinucleotide-containing regulatory sequences, is chemically and biologically stable and is regarded as a reliable marker for prediction of relationships with various diseases, including affective disorders [Qureshi and Mehler, 2010].
Results of the present study and data collected from the literature with different av/d ratios are compared with predictions from various design guidelines.
The results are compared with those obtained from other polymer/solvent systems and with predictions from various theories.
Established prediction algorithms were chosen with various and complementary methodologies, such as amino acid substitution penalties, structural disruption, sequence homology (ortholog conservation) and neural nets.
To select diagnostic genes, we performed recursive feature elimination [ 19]: prediction accuracies were determined with various numbers of genes, i.e., all genes, 2000, 1024, 512, 256, 128, 64, 32, 16, 8, 4, 2, 1.
