Literature DB >> 15713738

A knowledge-driven approach to cluster validity assessment.

Nadia Bolshakova1, Francisco Azuaje, Pádraig Cunningham.   

Abstract

UNLABELLED: This paper presents an approach to assessing cluster validity based on similarity knowledge extracted from the Gene Ontology. AVAILABILITY: The program is freely available for non-profit use on request from the authors.

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Year:  2005        PMID： 15713738     DOI： 10.1093/bioinformatics/bti317

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  13 in total

1.  Analysis of time-series gene expression data: methods, challenges, and opportunities.

Authors:  I P Androulakis; E Yang; R R Almon
Journal:  Annu Rev Biomed Eng       Date:  2007       Impact factor: 9.590

2.  Predictive integration of gene functional similarity and co-expression defines treatment response of endothelial progenitor cells.

Authors:  Francisco J Azuaje; Haiying Wang; Huiru Zheng; Frédérique Léonard; Magali Rolland-Turner; Lu Zhang; Yvan Devaux; Daniel R Wagner
Journal:  BMC Syst Biol       Date:  2011-03-30

3.  Multiconstrained gene clustering based on generalized projections.

Authors:  Jia Zeng; Shanfeng Zhu; Alan Wee-Chung Liew; Hong Yan
Journal:  BMC Bioinformatics       Date:  2010-03-31       Impact factor: 3.169

4.  Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes.

Authors:  Susmita Datta; Somnath Datta
Journal:  BMC Bioinformatics       Date:  2006-08-31       Impact factor: 3.169

5.  Bioinformatics analysis of the early inflammatory response in a rat thermal injury model.

Authors:  Eric Yang; Timothy Maguire; Martin L Yarmush; Francois Berthiaume; Ioannis P Androulakis
Journal:  BMC Bioinformatics       Date:  2007-01-10       Impact factor: 3.169

6.  Semantic particularity measure for functional characterization of gene sets using gene ontology.

Authors:  Charles Bettembourg; Christian Diot; Olivier Dameron
Journal:  PLoS One       Date:  2014-01-28       Impact factor: 3.240

7.  Lung cancer signature biomarkers: tissue specific semantic similarity based clustering of digital differential display (DDD) data.

Authors:  Mousami Srivastava; Pankaj Khurana; Ragumani Sugadev
Journal:  BMC Res Notes       Date:  2012-11-02

8.  Clustering-based approaches to SAGE data mining.

Authors:  Haiying Wang; Huiru Zheng; Francisco Azuaje
Journal:  BioData Min       Date:  2008-07-17       Impact factor: 2.522

9.  Recursive cluster elimination (RCE) for classification and feature selection from gene expression data.

Authors:  Malik Yousef; Segun Jung; Louise C Showe; Michael K Showe
Journal:  BMC Bioinformatics       Date:  2007-05-02       Impact factor: 3.169

10.  Relating gene expression data on two-component systems to functional annotations in Escherichia coli.

Authors:  Anne M Denton; Jianfei Wu; Megan K Townsend; Preeti Sule; Birgit M Prüss
Journal:  BMC Bioinformatics       Date:  2008-06-25       Impact factor: 3.169
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