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    Jaume Bacardit
    935
    Contribution points 
    (See all users)

    Contributions by role

    Editor 800
    PeerJ author 135

    Contributions by subject area

    Data-Mining-and-Machine-Learning 500
    Bioinformatics 400
    Computational-Biology 400
    Artificial-Intelligence 200
    Entomology 100
    Evolutionary-Studies 100
    Infectious-Diseases 100
    Zoology 100
    Parasitology 100
    Genomics 100
    Statistics 100
    Data-Science 100
    Databases 100
    Social-Computing 100
    Agents-and-Multi-Agent-Systems 100
    Computational-Linguistics 100
    Algorithms-and-Analysis-of-Algorithms 100
    Natural-Language-and-Speech 100
    Microbiology 100
    Academic Editor

    Jaume Bacardit


    Summary

    Jaume Bacardit is a Senior Lecturer in Biodata Mining at Newcastle University. His research is focused on the development of machine learning methods for complex, and large-scale datasets, and the application of these to biological/biomedical problems.

    Artificial Intelligence Bioinformatics Computational Biology Data Mining & Machine Learning Data Science

    Work details

    Senior Lecturer in Biodata Mining

    Newcastle University
    Computing Science

    Websites

    • Google Scholar
    • Twitter

    PeerJ Contributions

    • Articles 1
    • Edited 7
    December 2, 2014
    Susceptibility to experimental infection of the invertebrate locusts (Schistocerca gregaria) with the apicomplexan parasite Neospora caninum
    632 downloads
    2,727 views
    Mamdowh M. Alkurashi, Sean T. May, Kenny Kong, Jaume Bacardit, David Haig, Hany M. Elsheikha
    entomology
    evolutionary-studies
    parasitology
    zoology
    infectious-diseases
    https://doi.org/10.7717/peerj.674 PubMed 25493211

    Academic Editor on

    January 28, 2019
    Breast cancer detection using deep convolutional neural networks and support vector machines
    61 downloads
    285 views
    Dina A. Ragab, Maha Sharkas, Stephen Marshall, Jinchang Ren
    data-mining-and-machine-learning
    https://doi.org/10.7717/peerj.6201 PubMed 30713814
    October 9, 2017
    DGPathinter: a novel model for identifying driver genes via knowledge-driven matrix factorization with prior knowledge from interactome and pathways
    1 citation
    198 downloads
    1,112 views
    Jianing Xi, Minghui Wang, Ao Li
    bioinformatics
    computational-biology
    https://doi.org/10.7717/peerj-cs.133
    October 10, 2016
    Machine learning can differentiate venom toxins from other proteins having non-toxic physiological functions
    8 citations
    550 downloads
    3,182 views
    Ranko Gacesa, David J. Barlow, Paul F. Long
    bioinformatics
    computational-biology
    data-mining-and-machine-learning
    https://doi.org/10.7717/peerj-cs.90
    August 8, 2016
    Complexity curve: a graphical measure of data complexity and classifier performance
    1 citation
    583 downloads
    2,523 views
    Julian Zubek, Dariusz M. Plewczynski
    algorithms-and-analysis-of-algorithms
    artificial-intelligence
    data-mining-and-machine-learning
    https://doi.org/10.7717/peerj-cs.76
    January 13, 2016
    A Socratic epistemology for verbal emotional intelligence
    545 downloads
    1,716 views
    Abe Kazemzadeh, James Gibson, Panayiotis Georgiou, Sungbok Lee, Shrikanth Narayanan
    agents-and-multi-agent-systems
    artificial-intelligence
    computational-linguistics
    data-mining-and-machine-learning
    natural-language-and-speech
    https://doi.org/10.7717/peerj-cs.40
    October 29, 2015
    Getting the most out of RNA-seq data analysis
    6 citations
    1,513 downloads
    5,562 views
    Tsung Fei Khang, Ching Yee Lau
    bioinformatics
    computational-biology
    statistics
    https://doi.org/10.7717/peerj.1360 PubMed 26539333
    June 18, 2015
    Compact graphical representation of phylogenetic data and metadata with GraPhlAn
    124 citations
    2,616 downloads
    18,589 views
    Francesco Asnicar, George Weingart, Timothy L. Tickle, Curtis Huttenhower, Nicola Segata
    bioinformatics
    computational-biology
    genomics
    microbiology
    https://doi.org/10.7717/peerj.1029 PubMed 26157614
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