Triclustering techniques are applied to analyze three-dimensional gene expression microarray data to retrieve group of genes under the tested samples over certain time points based on a similarity measure. The real-life three-dimensional dataset chosen is estrogen induced breast cancer dataset. In such datasets, identifying the variations in mining the gene expressions across samples and time points is a difficult task. In this work, the hybrid cuckoo search with clonal selection is applied to extract co-expressed genes over samples and times with triclustering solution. The cuckoo eggs are procreated based on the clonal selection theory. Clonal selection generates the variability required for the solution without any substantial modification. The findings are then used to determine the biological significance of genes in the resulting cluster using gene ontology, functional annotation, and transcription factor binding sites. The proposed work identifies the top genes SRY, SOX5, PAX4, NKX61, SP1, OCT, CDP, POU3F2 and PAX4 present in the tricluster which are associated with the breast cancer. To learn the performance of the proposed work, the experiment results are analyzed with conventional cuckoo search. The hybrid cuckoo search with clonal selection outperforms both the conventional cuckoo search and the other existing triclustering algorithms.

三聚类技术用于分析三维基因表达微阵列数据，以基于相似性测量在特定时间点检索测试样本下的基因组。选择的现实生活三维数据集是雌激素诱导的乳腺癌数据集。在这样的数据集中，识别跨样本和时间点挖掘基因表达的变化是一项艰巨的任务。在这项工作中，应用具有克隆选择的杂交布谷鸟搜索来通过三聚类解决方案提取样本和时间上的共表达基因。杜鹃蛋是根据克隆选择理论繁殖的。克隆选择产生解决方案所需的可变性，而无需任何实质性修改。然后利用基因本体、功能注释和转录因子结合位点，利用这些发现来确定所得簇中基因的生物学意义。拟议的工作确定了与乳腺癌相关的三簇中存在的顶级基因 SRY、SOX5、PAX4、NKX61、SP1、OCT、CDP、POU3F2 和 PAX4。为了了解所提出的工作的性能，使用传统的布谷鸟搜索来分析实验结果。具有克隆选择的混合布谷鸟搜索优于传统布谷鸟搜索和其他现有的三聚类算法。POU3F2 和 PAX4 存在于与乳腺癌相关的三簇中。为了了解所提出的工作的性能，使用传统的布谷鸟搜索来分析实验结果。具有克隆选择的混合布谷鸟搜索优于传统布谷鸟搜索和其他现有的三聚类算法。POU3F2 和 PAX4 存在于与乳腺癌相关的三簇中。为了了解所提出的工作的性能，使用传统的布谷鸟搜索来分析实验结果。具有克隆选择的混合布谷鸟搜索优于传统布谷鸟搜索和其他现有的三聚类算法。