Research Paper Volume 14, Issue 10 pp 4270—4280
Identification of combined biomarkers for predicting the risk of osteoporosis using machine learning
Figure 3. Comparison of prediction accuracies of combinations of different numbers of genes. The specific-number gene sets were selected from 378 significant differentially expressed genes identified by the merged microarray dataset using the limma package. Vertical and horizontal axes represent the prediction accuracy and the number of genes considered in combination, respectively.