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Francisco Azuaje

Francisco Azuaje

D-Index & Metrics

Computer Science

D-Index
38
Citations
6559
World Ranking
10188
National Ranking
640

Overview

Francisco Azuaje is affiliated with Union Chimique Belge in Belgium. Their research spans the intersecting domains of Biochemistry, Genetics, and Molecular Biology, with a significant focus on Medicine. The scientist's work involves various subfields including Molecular Biology, Computational Theory and Mathematics, Genetics, Psychiatry and Mental Health, and Immunology.

The main research topics addressed by Azuaje include:

  • Bioinformatics and Genomic Networks
  • Computational Drug Discovery Methods
  • Immune Cells in Cancer
  • Glioma Diagnosis and Treatment
  • Cancer Research and Treatments
  • RNA Modifications and Cancer
  • Dementia and Cognitive Impairment Research

Francisco Azuaje has contributed to several scientific papers, some of which include:

  • Patient-derived organoids and orthotopic xenografts of primary and recurrent gliomas represent relevant patient avatars for precision oncology (2020) published in Acta Neuropathologica
  • Machine learning-assisted neurotoxicity prediction in human midbrain organoids (2020) published in Parkinsonism & Related Disorders
  • Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia (2020) published in Cancer Discovery
  • Fisetin protects against cardiac cell death through reduction of ROS production and caspases activity (2020) published in Scientific Reports
  • Oncolytic H-1 parvovirus binds to sialic acid on laminins for cell attachment and entry (2021) published in Nature Communications

Several venues have frequently published Azuaje's work, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • BMC Medical Research Methodology
  • Zenodo (CERN European Organization for Nuclear Research)
  • Acta Neuropathologica
  • Parkinsonism & Related Disorders

Collaborations form a noteworthy part of Azuaje's research activities. The scientist has frequently co-authored papers with:

  • Simone P. Niclou
  • Arnaud Muller
  • Tony Kaoma
  • Petr V. Nazarov
  • Anna Golebiewska

Best Publications

  • Advanced Methods And Tools for ECG Data Analysis

    Gari D. Clifford;Francisco Azuaje;Patrick McSharry

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

    Kai-Bo Duan;J.C. Rajapakse;Haiying Wang;F. Azuaje

  • Cluster validation techniques for genome expression data

    N. Bolshakova;F. Azuaje

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

    Peyman Jafari;Francisco Azuaje

  • Artificial intelligence for precision oncology: beyond patient stratification.

    Francisco Azuaje

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

    H. Wang;F. Azuaje;O. Bodenreider;J. Dopazo

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

    Kevin Dunne;Padraig Cunningham;Francisco Azuaje

  • Computational models for predicting drug responses in cancer research

    Francisco Azuaje

  • A cluster validity framework for genome expression data.

    Francisco Azuaje

  • Permutation – based statistical tests for multiple hypotheses

    Anyela Camargo;Francisco Azuaje;Haiying Wang;Huiru Zheng

  • Ontology-driven similarity approaches to supporting gene func- tional assessment

    Francisco Azuaje;Haiying Wang;Olivier Bodenreider

  • Databases for lncRNAs: a comparative evaluation of emerging tools

    Sabrina Fritah;Simone P. Niclou;Francisco Azuaje

  • An integrated tool for microarray data clustering and cluster validity assessment

    Nadia Bolshakova;Francisco Azuaje;Pádraig Cunningham

  • A knowledge-driven approach to cluster validity assessment

    Nadia Bolshakova;Francisco Azuaje;Pádraig Cunningham

  • Drug-target network in myocardial infarction reveals multiple side effects of unrelated drugs

    Francisco J. Azuaje;Lu Zhang;Yvan Devaux;Daniel R. Wagner

  • Selecting biologically informative genes in co-expression networks with a centrality score

    Francisco J Azuaje

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

    F. Azuaje

  • Witten IH, Frank E: Data Mining: Practical Machine Learning Tools and Techniques 2nd edition

    Francisco Azuaje

  • Predicting coronary disease risk based on short-term RR interval measurements: a neural network approach

    Francisco Azuaje;Werner Dubitzky;Philippe Lopes;Norman D. Black

  • Machine learning-assisted neurotoxicity prediction in human midbrain organoids.

    Anna S. Monzel;Kathrin Hemmer;Tony Kaoma;Lisa M. Smits

  • Discovering relevance knowledge in data: a growing cell structures approach

    F. Azuaje;W. Dubitzky;N. Black;K. Adamson

Frequent Co-Authors

Gunnar Dittmar
Gunnar Dittmar Luxembourg Institute of Health
Ioannis Xenarios
Ioannis Xenarios University of Lausanne
Joaquín Dopazo
Joaquín Dopazo Institute of Biomedicine of Seville
Olivier Bodenreider
Olivier Bodenreider National Institutes of Health
Katherine W. Ferrara
Katherine W. Ferrara Stanford University
Pádraig Cunningham
Pádraig Cunningham University College Dublin
Andrei Zinovyev
Andrei Zinovyev Institute Curie
Zhongming Zhao
Zhongming Zhao The University of Texas Health Science Center at Houston
Jean Paul Thiery
Jean Paul Thiery National University of Singapore

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