Research Paper Volume 14, Issue 10 pp 4270—4280
Identification of combined biomarkers for predicting the risk of osteoporosis using machine learning
Figure 2. Gene expression patterns in the three datasets analyzed. (A) Gene expression pattern in the merged microarray dataset, which includes 6354 genes and data from 90 experiments. (B) Gene expression pattern of significant differentially expressed genes (n = 378) in high-BMD and low-BMD groups. The genes were identified using the limma package in R; among them, 191 genes were down-regulated and 187 genes were up-regulated.