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

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

Pairwise gene GO-based measures for biclustering of high-dimensional expression data · Resumen · Enlaces · BibTeX (Download).

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

Pairwise gene GO-based measures for biclustering of high-dimensional expression data ; ISSN · 1756-0381 ; Year of publication · 2018 ; Volume · 11 ; Issue · 1 ; Type ...

A new geometric biclustering algorithm based on the Hough ...

Biclustering is an important tool in microarray analysis when only a subset of genes co-regulates in a subset of conditions.

A novel biclustering approach with iterative optimization to analyze ...

Biclustering has been proven to be superior over clustering in identifying multifunctional genes and searching for co-expressed genes under a ...

Analysis of gene expression data is used in many areas including drug discovery and clinical applications. This proposed biclustering algorithm extracts maximum ...

A Biclustering Method to Discover Co-regulated Genes Using ...

The novel PCC based biclustering algorithm introduced in this paper identifies subsets of genes with high correlation by strin- gently filtering the data and ...

POPBic: Pathway-Based Order Preserving Biclustering Algorithm ...

ters for high dimensional gene expression datasets. A method for ... and J. S. Aguilar-Ruiz, “Pairwise gene go-based measures for biclustering of ...

Finding Large Average Submatrices in High Dimensional Data

The vali- dation measures are applicable to any biclustering method, and most gene expression datasets. ... pairwise correlation of their constituent genes ...

Bi-Cluster Based Analysis on Gene Ontology

QUBIC-R kit is paired with QUBIC version 3.12 to conduct biclustering. Biclusters that are relevant and high-quality are produced using gene expression data.

Biclustering via Semiparametric Bayesian Inference - Project Euclid

Keywords: clustering, CAR model, stick-breaking prior, gene expression. 1 Introduction. Assume we record measurements {yij} corresponding to a sample of i = 1,.

Implementation of BiClusO and its comparison with other ...

Biclustering of gene expression data is expected to accumulate similar function genes in individual biclusters. In order to find the richness of ...

Multi-objective Optimization Approach To Find Biclusters In Gene ...

This algorithm differs from other evolutionary based biclustering algorithms [9], [10] both in fitness measure and in post-processing methods.

Experimental correlation analysis of bicluster coherence measures ...

bicluster's values (Variance-based), correlations among genes or biological sam- ... sults suggest that a high GO significance does not automatically imply ...

A new measure for gene expression biclustering based on non ...

Finally, the search of biclusters based on different measures is performed using the same search algorithm: esti- mation of distribution algorithms (EDAs). A ...

Local search method based on biological knowledge for the ...

correspond to the pairwise GO semantic similarities of the two gene sets. ... have relatively close results with high gene correlation and reasonable bicluster ...

Integrating biological knowledge based on functional annotations for ...

Several gene pairwise GO-based measures have been proposed in the literature ... comparison and evaluation of biclustering methods for gene expression ...

AN IMPROVED BICLUSTERING METHOD FOR ANALYZING GENE ...

To address this issue and to further accelerate the biclustering process, we generalize the model of bicluster to incorporate null values and propose a ...

A parameter free relative density based biclustering method for ...

The existing biclustering algorithms often depend on assumptions like monotonicity or linearity of feature relations for finding biclusters.

UniBic: Sequential row-based biclustering algorithm for analysis of ...

Biclustering algorithms, which aim to provide an effective and efficient way to analyze gene expression data by finding a group of genes ...

Performance evaluation and enhancement of biclustering algorithms

Keywords: Biclustering, Evaluation, Gene Expression Pattern Recognition, Validation Measures. ... based biclustering algorithm for analysis of ...