Quality Measures for Gene Expression Biclusters
نویسندگان
چکیده
منابع مشابه
Quality Measures for Gene Expression Biclusters
An noticeable number of biclustering approaches have been proposed proposed for the study of gene expression data, especially for discovering functionally related gene sets under different subsets of experimental conditions. In this context, recognizing groups of co-expressed or co-regulated genes, that is, genes which follow a similar expression pattern, is one of the main objectives. Due to t...
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Two genes can be co-regulated and possibly have the similar function if they are similarly expressed, which provides a theoretical basis for construction of gene regulatory networks using gene expression data. Herein, a new method of gene regulatory network was constructed based on biclusters in this paper. Given a bicluster, this paper analyzes the correlation between genes in the clusters and...
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Several non-supervised machine learning methods have been used in the analysis of gene expression data obtained from microarray experiments. Recently, biclustering, a non-supervised approach that performs simultaneous clustering on the row and column dimensions of the data matrix, has been shown to be remarkably effective in a variety of applications. The goal of biclustering is to find subgrou...
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For a given matrix of size n ×m over a finite alphabet A, a bicluster is a submatrix composed of selected columns and rows satisfying a certain property. In microarrays analysis one searches for largest biclusters in which selected rows constitute the same string (pattern); in another formulation of the problem one tries to find a maximally dense submatrix. In a conceptually similar problem, na...
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In this paper, the Biclustering analysis of coregulated biclusters from gene expression data is carried out. Gene expression is the process, which produces functional product from the gene information. Data mining is used to find relevant and useful information from databases. Clustering groups the genes according to the given conditions. Biclustering algorithms belong to a distinct class of cl...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2015
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0115497