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A cluster validity framework for genome expression data

Bioinformatics, 2002-02, Vol.18 (2), p.319-320

AZUAJE, F

2002

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Cluster validation techniques for genome expression data

Signal processing, 2003-04, Vol.83 (4), p.825-833

2003

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Computational discrete models of tissue growth and regeneration

Briefings in bioinformatics, 2011-01, Vol.12 (1), p.64-77

AZUAJE, Francisco

2011

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A computational neural approach to support the discovery of gene function and classes of cancer

IEEE transactions on biomedical engineering, 2001-03, Vol.48 (3), p.332-339

Azuaje, F.

2001

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IEEE_Xplore

Integrative data analysis for functional prediction: a multi-objective optimization approach

Bioinformatics, 2005-05, Vol.21 (9), p.2099-2100

AZUAJE, F

2005

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A knowledge-driven approach to cluster validity assessment

Bioinformatics, 2005-05, Vol.21 (10), p.2546-2547

2005

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O4.01 DISTINCT FUNCTIONAL ROLES OF WILD-TYPE EGFR AND ITS MUTANT EGFRVIII IN GLIOBLASTOMA DEVELOPMENT

Neuro-oncology (Charlottesville, Va.), 2014-09, Vol.16 (suppl 2), p.ii6-ii7

2014

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PO-197 Patient-derived xenograft (PDX) models of glioblastoma: from basic research to preclinical studies

ESMO open, 2018-07, Vol.3 (Suppl 2), p.A303-A304

2018

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Poisson-Based Self-Organizing Feature Maps and Hierarchical Clustering for Serial Analysis of Gene Expression Data

IEEE/ACM transactions on computational biology and bioinformatics, 2007-04, Vol.4 (2), p.163-175

2007

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IEEE_Xplore

A computational evolutionary approach to evolving game strategy and cooperation

IEEE transactions on cybernetics, 2003-06, Vol.33 (3), p.498-503

Azuaje, F.

2003

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IEEE_Xplore

Estimating the number of clusters in DNA microarray data

Methods of information in medicine, 2006-01, Vol.45 (2), p.153

2006

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Identification of dilated cardiomyopathy signature genes through gene expression and network data integration

Genomics (San Diego, Calif.), 2008-12, Vol.92 (6), p.404-413

2008

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SP-0654 Transcriptional response to temozolomide in Glioblastoma reveals critical role of long non-coding RNAs

Radiotherapy and oncology, 2019-04, Vol.133, p.S345-S345

2019

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Data Analysis and Visualization in Genomics and Proteomics

1. Aufl., 2005

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KS01.5.A Allergic airway inflammation impacts tumor take and delays experimental glioblastoma progression

Neuro-oncology (Charlottesville, Va.), 2021-09, Vol.23 (Supplement_2), p.ii3-ii4

2021

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P11.26 Genome-wide shRNA screen identifies candidate genes driving glioblastoma invasion

Neuro-oncology (Charlottesville, Va.), 2019-09, Vol.21 (Supplement_3), p.iii48-iii48

2019

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P04.64 Molecular characterization of glioma patient derived orthotopic xenografts to improve outcome of preclinical studies

Neuro-oncology (Charlottesville, Va.), 2018-09, Vol.20 (suppl_3), p.iii294-iii294

2018

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OS12.2 Targeting epigenetic pathways in the treatment of recurrent high-grade glioma

Neuro-oncology (Charlottesville, Va.), 2019-09, Vol.21 (Supplement_3), p.iii22-iii22

2019

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Computational biology for cardiovascular biomarker discovery

Briefings in bioinformatics, 2009-07, Vol.10 (4), p.367-377

2009

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Clustering-based approaches to discovering and visualising microarray data patterns

Briefings in bioinformatics, 2003-03, Vol.4 (1), p.31-42

AZUAJE, Francisco

2003

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Improving clinical decision support through case-based data fusion

IEEE transactions on biomedical engineering, 1999-10, Vol.46 (10), p.1181-1185

1999

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IEEE_Xplore

Genomic data sampling and its effect on classification performance assessment

BMC bioinformatics, 2003-01, Vol.4 (1), p.5-5

Azuaje, Francisco

2003

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An ontology-driven clustering method for supporting gene expression analysis

18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 2005, p.389-394

2005

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IEEE_Xplore

P05.01 Patient-derived xenograft (PDX) model of glioblastoma: from basic research to preclinical studies

Neuro-oncology (Charlottesville, Va.), 2016-10, Vol.18 (suppl_4), p.iv26-iv26

2016

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OS1.7 Regulatory RNAs, a missing link in Glioblastoma response to Temozolomide?

Neuro-oncology (Charlottesville, Va.), 2016-10, Vol.18 (suppl_4), p.iv3-iv4

2016

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A cluster validity framework for genome expression data

Cluster validation techniques for genome expression data

Computational discrete models of tissue growth and regeneration

A computational neural approach to support the discovery of gene function and classes of cancer

Integrative data analysis for functional prediction: a multi-objective optimization approach

A knowledge-driven approach to cluster validity assessment

O4.01 DISTINCT FUNCTIONAL ROLES OF WILD-TYPE EGFR AND ITS MUTANT EGFRVIII IN GLIOBLASTOMA DEVELOPMENT

PO-197 Patient-derived xenograft (PDX) models of glioblastoma: from basic research to preclinical studies

Poisson-Based Self-Organizing Feature Maps and Hierarchical Clustering for Serial Analysis of Gene Expression Data

A computational evolutionary approach to evolving game strategy and cooperation

Estimating the number of clusters in DNA microarray data

Identification of dilated cardiomyopathy signature genes through gene expression and network data integration

SP-0654 Transcriptional response to temozolomide in Glioblastoma reveals critical role of long non-coding RNAs

Data Analysis and Visualization in Genomics and Proteomics

KS01.5.A Allergic airway inflammation impacts tumor take and delays experimental glioblastoma progression

P11.26 Genome-wide shRNA screen identifies candidate genes driving glioblastoma invasion

P04.64 Molecular characterization of glioma patient derived orthotopic xenografts to improve outcome of preclinical studies

OS12.2 Targeting epigenetic pathways in the treatment of recurrent high-grade glioma

Computational biology for cardiovascular biomarker discovery

Clustering-based approaches to discovering and visualising microarray data patterns

Improving clinical decision support through case-based data fusion

Genomic data sampling and its effect on classification performance assessment

An ontology-driven clustering method for supporting gene expression analysis

P05.01 Patient-derived xenograft (PDX) model of glioblastoma: from basic research to preclinical studies

OS1.7 Regulatory RNAs, a missing link in Glioblastoma response to Temozolomide?

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