An enhanced adaptive Bi-clustering algorithm through building a shielding complex sub-matrix
文献类型:期刊论文
作者 | K. J. Xu; X. A. Tang; X. K. Yin and R. Zhang |
刊名 | Frontiers in Genetics |
出版日期 | 2022 |
卷号 | 13页码:8 |
DOI | 10.3389/fgene.2022.996941 |
英文摘要 | Bi-clustering refers to the task of finding sub-matrices (indexed by a group of columns and a group of rows) within a matrix of data such that the elements of each sub-matrix (data and features) are related in a particular way, for instance, that they are similar with respect to some metric. In this paper, after analyzing the well-known Cheng and Church bi-clustering algorithm which has been proved to be an effective tool for mining co-expressed genes. However, Cheng and Church bi-clustering algorithm and summarizing its limitations (such as interference of random numbers in the greedy strategy; ignoring overlapping bi-clusters), we propose a novel enhancement of the adaptive bi-clustering algorithm, where a shielding complex sub-matrix is constructed to shield the bi-clusters that have been obtained and to discover the overlapping bi-clusters. In the shielding complex sub-matrix, the imaginary and the real parts are used to shield and extend the new bi-clusters, respectively, and to form a series of optimal bi-clusters. To assure that the obtained bi-clusters have no effect on the bi-clusters already produced, a unit impulse signal is introduced to adaptively detect and shield the constructed bi-clusters. Meanwhile, to effectively shield the null data (zero-size data), another unit impulse signal is set for adaptive detecting and shielding. In addition, we add a shielding factor to adjust the mean squared residue score of the rows (or columns), which contains the shielded data of the sub-matrix, to decide whether to retain them or not. We offer a thorough analysis of the developed scheme. The experimental results are in agreement with the theoretical analysis. The results obtained on a publicly available real microarray dataset show the enhancement of the bi-clusters performance thanks to the proposed method. |
URL标识 | 查看原文 |
语种 | 英语 |
源URL | [http://ir.ciomp.ac.cn/handle/181722/66620] |
专题 | 中国科学院长春光学精密机械与物理研究所 |
推荐引用方式 GB/T 7714 | K. J. Xu,X. A. Tang,X. K. Yin and R. Zhang. An enhanced adaptive Bi-clustering algorithm through building a shielding complex sub-matrix[J]. Frontiers in Genetics,2022,13:8. |
APA | K. J. Xu,X. A. Tang,&X. K. Yin and R. Zhang.(2022).An enhanced adaptive Bi-clustering algorithm through building a shielding complex sub-matrix.Frontiers in Genetics,13,8. |
MLA | K. J. Xu,et al."An enhanced adaptive Bi-clustering algorithm through building a shielding complex sub-matrix".Frontiers in Genetics 13(2022):8. |
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