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Alzheimer's disease (AD) is the most common form of dementia, little is known about its complicated mechanisms. To deeply understand its mechanisms, DNA microarray expression profiling and its analysis appears particularly promising. In this paper, the correlation of the DNA microarray expression data which is downloaded from GEO Datasets, NCBI , is analyzed via Principal Component Analysis (PCA), the character of strong linear correlation is observed. And this character implies that the information of gene co-regulation is mapped into the compactness of clustering of expression data possibly (i.e., all data clustering tightly in different classes). Thus, through the computerized compactness, the potential co-regulated genes can be identified.