D-Index & Metrics Best Publications

Francisco Azuaje

Union Chimique Belge
Belgium

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 31 Citations 5,350 150 World Ranking 9692 National Ranking 88

Overview

What is he best known for?

The fields of study Francisco Azuaje is best known for:

Machine learning
Programming language
Feature selection

Among his Programming language studies, you can observe a synthesis of other disciplines of science such as Expression (computer science) and Cluster (spacecraft). Francisco Azuaje conducted interdisciplinary study in his works that combined Cluster (spacecraft) and Programming language. Artificial intelligence and Ranking (information retrieval) are commonly linked in his work. He integrates Genetics with Genome in his study. His study deals with a combination of Genome and Genetics. Francisco Azuaje performs multidisciplinary study on Data mining and Cluster analysis in his works. He performs multidisciplinary study in the fields of Cluster analysis and Data mining via his papers. Francisco Azuaje integrates Gene with Computational biology in his research. Francisco Azuaje integrates many fields in his works, including Computational biology and Gene.

His most cited work include:

Multiple SVM-RFE for Gene Selection in Cancer Classification With Expression Data (350 citations)
Cluster validation techniques for genome expression data (296 citations)

What are the main themes of his work throughout his whole career to date

His Linguistics study frequently draws connections to other fields, such as Fusion and Feature (linguistics). His Feature (linguistics) study frequently draws connections between related disciplines such as Linguistics. In his papers, Francisco Azuaje integrates diverse fields, such as Artificial intelligence and Knowledge extraction. Francisco Azuaje undertakes interdisciplinary study in the fields of Knowledge extraction and Data mining through his works. He carries out multidisciplinary research, doing studies in Data mining and Data science. He merges many fields, such as Data science and Data visualization, in his writings. Francisco Azuaje merges Machine learning with Artificial immune system in his study. Francisco Azuaje connects Artificial immune system with Artificial neural network in his research. Francisco Azuaje integrates many fields, such as Artificial neural network and Self-organizing map, in his works.

Francisco Azuaje most often published in these fields:

Artificial intelligence (81.82%)
Machine learning (72.73%)
Data mining (63.64%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Advanced Methods And Tools for ECG Data Analysis

Gari D. Clifford;Francisco Azuaje;Patrick McSharry.
(2006)

1091 Citations

Cluster validation techniques for genome expression data

N. Bolshakova;F. Azuaje.
Signal Processing (2003)

474 Citations

Multiple SVM-RFE for gene selection in cancer classification with expression data

Kai-Bo Duan;J.C. Rajapakse;Haiying Wang;F. Azuaje.
IEEE Transactions on Nanobioscience (2005)

452 Citations

Use of Circulating MicroRNAs to Diagnose Acute Myocardial Infarction

Yvan Devaux;Mélanie Vausort;Emeline Goretti;Petr V. Nazarov.
Clinical Chemistry (2012)

296 Citations

An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors

Peyman Jafari;Francisco Azuaje.
BMC Medical Informatics and Decision Making (2006)

199 Citations

Gene expression correlation and gene ontology-based similarity: an assessment of quantitative relationships

H. Wang;F. Azuaje;O. Bodenreider;J. Dopazo.
computational intelligence in bioinformatics and computational biology (2004)

194 Citations

Solutions to Instability Problems with Sequential Wrapper-based Approaches to Feature Selection

Kevin Dunne;Padraig Cunningham;Francisco Azuaje.
(2002)

168 Citations

Stem cell-associated heterogeneity in Glioblastoma results from intrinsic tumor plasticity shaped by the microenvironment.

Anna Dirkse;Anna Golebiewska;Thomas Buder;Thomas Buder;Petr V. Nazarov.
Nature Communications (2019)

164 Citations

Computational models for predicting drug responses in cancer research

Francisco Azuaje.
Briefings in Bioinformatics (2016)

147 Citations

A cluster validity framework for genome expression data.

Francisco Azuaje.
Bioinformatics (2002)

133 Citations

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Francisco Azuaje

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Overview

What is he best known for?

The fields of study Francisco Azuaje is best known for:

His most cited work include:

What are the main themes of his work throughout his whole career to date

Francisco Azuaje most often published in these fields:

Best Publications

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