Bicluster Coherency Measures for Gene Expression Data

... biclusters, but also the final shape of them. In this paper, a number of bicluster coherency measures for gene expression data are reviewed and.

A Study of Biclustering Coherence Measures for Gene Expression ...

Abstract: Biclustering algorithms have become one of the main tools for the analysis of gene expression data. They allow the identification of local ...

(PDF) Bicluster Coherency Measures for Gene Expression Data

Bicluster Coherency Measures for Gene Expression Data · 1. Introduction. The rapid evolution in the microarray technologies allow the monitoring of the · 2.

Biclustering of gene expression data using reactive greedy ...

Cheng and Church have introduced a measure called mean squared residue score to evaluate the quality of a bicluster and has become one of the most popular ...

Experimental correlation analysis of bicluster coherence measures ...

In this analysis, results were produced by 10 algorithms from the literature in 19 gene expression datasets. According to the experimental results, a few pairs ...

A Study of Biclustering Coherence Measures for Gene Expression ...

Abstract—Biclustering algorithms have become one of the main tools for the analysis of gene expression data. They allow the iden-.

Biclustering of Gene Expression Data by Correlation-Based Scatter ...

The analysis of data generated by microarray technology is very useful to understand how the genetic information becomes functional gene products. Biclustering ...

Biclustering for the comprehensive search of correlated gene ...

In a functional analysis of gene expression data, biclustering method can give crucial information by showing correlated gene expression ...

Biclustering of gene expression data based on related genes and ...

Biclustering is an important tool to find patterns in a microarray data matrix by simultaneous classification in two dimensions of genes and conditions.

Journal of Bioinformatics and Computational Biology

Biclustering methods are used to identify a subset of genes that are co-regulated in a subset of experimental conditions in microarray gene expression data.

Biclustering data analysis: a comprehensive survey - Oxford Academic

This property makes biclustering suited for the analysis of biological data characterized by local patterns, in particular gene expression data, ...

Discovering biclusters in gene expression data based on high ...

Conventional clustering algorithms that deal with the entire row or column in an expression matrix would therefore fail to detect these useful ...

A Study of Biclustering Coherence Measures for Gene Expression ...

An important step in considering of gene expression data is obtained groups of genes that have similarity patterns. Biclustering methods was recently introduced ...

Experimental correlation analysis of bicluster coherence measures ...

AbstractBiclustering algorithms have become popular tools for gene expression data analysis. They can identify local patterns defined by subsets of genes ...

Quality Measures for Gene Expression Biclusters | PLOS ONE

An noticeable number of biclustering approaches have been proposed proposed for the study of gene expression data, especially for discovering functionally ...

Experimental correlation analysis of bicluster coherence measures ...

Biclustering algorithms have become popular tools for gene expression data anal- ysis. They can identify local patterns defined by subsets of genes and ...

Shifting and scaling patterns from gene expression data

The mean squared residue measures the variance of the set of all elements in the bicluster, plus the mean row variance and the mean column variance. The lower ...

[PDF] A comparative analysis of biclustering algorithms for gene ...

237 Citations · Quality Measures for Gene Expression Biclusters · Biclustering on expression data: A review · A Study of Biclustering Coherence Measures for Gene ...

A NOVEL COHERENCE MEASURE FOR DISCOVERING SCALING ...

Biclustering methods are used to identify a subset of genes that are co-regulated in a subset of experimental conditions in microarray gene expression data.

Experimental correlation analysis of bicluster coherence measures ...

Biclustering algorithms have become popular tools for gene expression data analysis. They can identify local patterns defined by subsets of genes and ...