Experimental correlation analysis of bicluster coherence measures ...

Highlights. •. Analysis of correlations between 17 biclustering coherence measures on real data. •. Evaluation of 16 experimental scenarios including all gene ...

studies discuss how biclustering coherence measures relate to each other. 70. The first study of biclustering in the context of gene expression data can be ...

Experimental correlation analysis of bicluster coherence measures ...

Analysis of correlations between 17 biclustering coherence measures on real data. •. Evaluation of 16 experimental scenarios including all gene ontologies. •.

Experimental correlation analysis of bicluster coherence measures ...

PADILHA, VICTOR ALEXANDRE... Experimental correlation analysis of bicluster coherence measures and gene ontology information. APPLIED SOFT COMPUTING 85 ...

Biclustering data analysis: a comprehensive survey - PMC - NCBI

Composed biclusters consist of biclusters with more than one coherence; in this example, this bicluster combines two sub-biclusters: one order ...

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

Experimental correlation analysis of bicluster coherence measures and gene ontology information ... Biclustering algorithms have become popular tools for gene ...

(PDF) Bicluster Coherency Measures for Gene Expression Data

Biclustering methods currently used to identify correlated gene patterns based on a subset of conditions do not effectively mine constant, coherent, or ...

Bicluster Coherency Measures for Gene Expression Data

In the coherent evolutions biclusters, biclusters may represent the set of experimental conditions for different stages in a disease or ...

Biclustering of Linear Patterns In Gene Expression Data - PMC - NCBI

, penalize the size of the bicluster. In particular, larger values of θc penalize size more heavily by requiring more substantial gains in correlation to add ...

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

CCC-Biclustering [30] finds coherent biclusters with maximal contiguous columns in linear time. First, the algorithm discretizes the matrix and ...

Biclustering on expression data: A review | Semantic Scholar

Experimental correlation analysis of bicluster coherence measures and gene ontology information · V. A. PadilhaA. Carvalho. Computer Science, Biology. Appl ...

Bi-correlation clustering algorithm for determining a set of co ...

Biclustering is a technique that performs simultaneous grouping on genes and conditions (measurements) of a dataset to determine subgroups of genes that exhibit ...

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.

Quality Measures for Gene Expression Biclusters | PLOS ONE

If a bicluster has a MSR equal to zero, it means that its genes fluctuate in exactly the same way under the subset of experimental conditions, and thus it can ...

Journal of Bioinformatics and Computational Biology

A NOVEL COHERENCE MEASURE FOR DISCOVERING SCALING BICLUSTERS FROM GENE EXPRESSION DATA · ANIRBAN MUKHOPADHYAY, · UJJWAL MAULIK, and · SANGHAMITRA BANDYOPADHYAY.

Performance evaluation and enhancement of biclustering algorithms

Keywords: Biclustering, Evaluation, Gene Expression Pattern Recognition, Validation Measures. Abstract: In gene expression data analysis, ...

Bicluster-Based Identification of Gene Sets Through Multivariate ...

long computation time, are there alternative methods? Specific sub-aims: 1. Evaluate traditional MVMA methods for bicluster meta-analysis by varying sample ...

Deep surveys of transcriptional modules with Massive Associative K ...

We implemented statistical bicluster coherence criteria to improve measures of bicluster coherence for a variety of bicluster pattern types and ...

Pairwise gene GO-based measures for biclustering of high ...

The experiments have been designed to study the effect of using biological information by means of gene pairwise GO measures on biclustering.

An Association Analysis Approach to Biclustering - CiteSeerX

Algorithms, Experimentation, Measurement ... Our evaluation is based on two major methodologies: • Evaluation using an objective measure of coherence, namely the.