Abstract: Latest microarray technique can measure the expression levels of a set of genes under a set of samples during a series of time points, ...
Latest microarray technique can measure the expression levels of a set of genes under a set of samples during a series of time points, and generates new ...
Bibliographic details on Multi-objective Evolutionary Algorithm for Mining 3D Clusters in Gene-sample-time Microarray Data.
TRICLUSTER is the state-of-the-art 3D clustering algorithm for GST microarray data. In this paper, we propose a new algorithm to mine 3D clusters over GST ...
This paper explores a novel type of gene-sample-time microarray data sets, which records the expression levels of various genes under a set of samples ...
Jan 20, 2023 · In this paper, a multi-objective Genetic Algorithm for cluster analysis is proposed, implemented, and systematically validated on 48 experimental and 60 ...
Applications of multiobjective evolutionary algorithms (MOEA) in clustering have shown to be effective in identifying meaningful clusters [1, 3, 4]. ... ...
This work describes an evolutionary algorithm to find groups of genes in expression data that exhibit expression pro- files similar to that of a given query ...
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Aug 7, 2018 · We propose a Multi-Objective Clustering algorithm Guided by a-Priori Biological Knowledge (MOC-GaPBK) to find clusters of genes with high levels ...
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Multi-objective evolutionary algorithm for mining 3D clusters in gene-sample-time microarray data. In IEEE International Conference on Granular Computing ...