A Pipeline to Call Multilevel Expression Changes between Cancer and Normal Tissues and Its Applications in Repurposing Drugs Effective for Gastric Cancer

Figure 2

Principal component analysis (PCA) of three cancer samples. Through the matrix decomposition method, we can obtain the distribution of the samples on the principal component axis. Through the distribution, we can preprocess the sample data and remove outliers. Original sample distribution (a); filtered sample distribution (b).

(a)

(b)