基因聚类分析是一种用于将基因按照它们的表达模式或特征进行分组的生物信息学方法。通过聚类分析，相似的基因被分配到相同的群组，从而揭示它们在不同条件下的共同表达模式。常见的聚类方法包括层次聚类和K均值聚类。这种分析有助于理解基因表达的模式、发现潜在的功能模块以及识别生物过程中的关键调控网络。基因聚类在生物学研究、疾病分类和药物筛选中发挥着关键作用。

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.