An enhanced adaptive Bi-clustering algorithm through building a shielding complex sub-matrix

doi:10.3389/fgene.2022.996941

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	An enhanced adaptive Bi-clustering algorithm through building a shielding complex sub-matrix
	K. J. Xu; X. A. Tang; X. K. Yin and R. Zhang
	2022
发表期刊	Frontiers in Genetics
卷号	13 页码:8
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.
DOI	10.3389/fgene.2022.996941
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收录类别	sci
语种	英语
引用统计
文献类型	期刊论文
条目标识符	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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