Gene cluster analysis is a bioinformatics method used to group genes according to their expression patterns or characteristics. Through cluster analysis, similar genes were assigned to the same group, thus revealing their common expression patterns under different conditions. Common clustering methods include hierarchical clustering and K-means clustering. This analysis helps understand patterns of gene expression, discover underlying functional modules, and identify key regulatory networks in biological processes. Gene clustering plays a key role in biological research, disease classification, and drug screening.