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This work was supported by the National Natural Science Foundation of China under Grant No.62072210;the Project of the Development and Reform Commission of Jilin Province of China under Grant No.2019C053-6.
Unlike traditional clustering analysis,the biclustering algorithm works simultaneously on two dimensions of samples(row)and variables(column).In recent years,biclustering methods have been developed rapidly and widely...
funded in part by Israeli Science Foundation under Grant No.1227/09;by a grant to Amichai Painsky fromthe Israeli Center for Absorption in Science
The availability of large microarray data has led to a growing interest in biclustering methods in the past decade. Several algorithms have been proposed to identify subsets of genes and conditions according to differ...
supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Education,Science and Technology (MEST) of Korea under Grant No. 2011-0016648
A biclustering algorithm extends conventional clustering techniques to extract all of the meaningful subgroups of genes and conditions in the expression matrix of a microarray dataset. However, such algorithms are ver...