DEG identified by a multifactor model
cancer, S cancer
CANCER
We developed an integrated statistical model to identify DEG, which takes the information of the anesthesia drugs (propofol and sevoflurane) and the conditions (cancer and normal) into account (see the details in the “After obtaining this comprehensive list of DEG, we performed a principal component analysis (PCA), a statistical procedure to transform data from high dimensions into low dimensions. This type of plot is useful for visualizing the overall effect of experimental conditions. In the PCA figure, four groups (P cancer group, P normal group, S cancer group, S normal group) were separated adequately (Fig. RNA-seq analysis on 124 differentially expressed genes (DEG). We also performed a hierarchical cluster analysis (Fig. 