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3 events found

Organizer: University of Tasmania  or biomina 

and

Content provider: VIB Bioinformatics Core  or EMBL-ABR 

  • Genome Annotation with Monica Munoz-Torres

    29 June 2017

    Hobart, Australia

    Genome Annotation with Monica Munoz-Torres https://tess.elixir-europe.org/events/genome-annotation-with-monica-munoz-torres-d4d8d495-d20f-464e-9c28-1b6fcd88814b 2017-06-29 09:00:00 UTC 2017-06-29 17:00:00 UTC University of Tasmania Maths & Physics Building, Sandy Bay Campus, University of Tasmania, Hobart, Australia Maths & Physics Building, Sandy Bay Campus, University of Tasmania Hobart Australia Bioinformatics University of Tasmania [] [] [] [] Bioinformatics
  • Open source science with Monica Munoz-Torres

    30 June 2017

    Hobart, Australia

    Open source science with Monica Munoz-Torres https://tess.elixir-europe.org/events/open-source-science-with-monica-munoz-torres 2017-06-30 09:00:00 UTC 2017-06-30 12:00:00 UTC University of Tasmania Maths & Physics Building, Sandy Bay Campus, University of Tasmania, Hobart, Hobart, Australia Maths & Physics Building, Sandy Bay Campus, University of Tasmania, Hobart Hobart Australia Bioinformatics University of Tasmania [] [] [] [] Bioinformatics
  • Biomolecular data mining: a hands-on training

    11 - 13 September 2017

    Antwerpen, Belgium

    Elixir node event
    Biomolecular data mining: a hands-on training https://tess.elixir-europe.org/events/biomolecular-data-mining-a-hands-on-training This course aims to introduce the core principles and biomedical applications of different data mining and machine learning techniques in a hands-on manner. It will tackle both unsupervised (clustering, frequent pattern mining, data projection) and supervised (classification) techniques. The methods that will be seen include hierarchical clustering, k- means clustering, item set mining, association rule mining, principle component analysis, support vector machines, random forests, bayesian networks and artificial neural networks. Attendees will be introduced to the basic operations of these data mining techniques, with a focus on the practical use and interpretation of these procedures rather than the mathematical formulas. In addition, attendants will be introduced to some important data processing and performance evaluation methods related to these data mining techniques. The software used in this course will be R. The course itself will consist of 50% theory lessons, 40% hands-on practicals and 10% application case studies. Organised by biomina: Dr. Pieter Meysman Prof. dr. Kris Laukens 2017-09-11 09:00:00 UTC 2017-09-13 17:00:00 UTC biomina Antwerpen Groenenborgerlaan, Antwerpen, Belgium Antwerpen Groenenborgerlaan Antwerpen Antwerpen Belgium 2020 Biomedical science Machine learning Data mining University of Antwerp Dr. Pieter Meysman Prof. dr. Kris Laukens ELIXIR Belgium and Flemish Region PhD studentsPostDocs 30 workshops_and_courses registration_of_interest []
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