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  • Hypothesis testing using R

    12 March 2020

    St Lucia, Australia

    Hypothesis testing using R 2020-03-12 09:00:00 UTC 2020-03-12 17:00:00 UTC QCIF The University of Queensland, St Lucia, Australia The University of Queensland St Lucia Queensland Australia 4072 University of Queensland Mark Crowe - [] Postgraduate studentsPostdoctoral researchers workshops_and_courses [] R-programmingStatisticsInferential statistics
  • Translational Immunology

    26 - 27 March 2020

    Gent, Belgium

    Elixir node event
    Translational Immunology The aim of this conference is to bridge the translational gap in immunopathology, bringing together clinicians, research scientists and industry partners to discuss prominent advances from the bench to the clinic. The different sessions will have a particular focus on precision medicine in general, starting from disease-oriented cases and lessons learned. Innovative and alternative therapeutic strategies in immune-mediated disorders will be presented, besides the regulatory challenges that companies and researchers are dealing with. Poster information Format: A0 (841 x 1189 mm / 33.1 x 46.8 in), portrait orientation 2020-03-26 09:00:00 UTC 2020-03-27 17:00:00 UTC VIB Universiteit Gent - Het Pand, 1, Onderbergen, Gent, Belgium Universiteit Gent - Het Pand, 1, Onderbergen Gent Oost-Vlaanderen Belgium 9000 Translational medicine Immunology [] [] [] [] first_come_first_served Immunologytargeted therapeuticstherapeutic application
  • R for beginners

    1 - 3 April 2020

    Liverpool, United Kingdom

    R for beginners R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. This course covers: Day 1: Foundations of R: get familiar with R, R studio, operators, variables, functions, directories and the script editor Day 2: Visualisation in basic R (boxplots, scatterplots, line graphs and histograms) and ggplot2 (same types of plots and also manipulation of data for use within this package as well as simple linear regression) Day 3: Introduction to statistical analyses in R: univariate statistics (choosing the right test, checking data assumptions, calculating and extracting the values to report in publications) and Principal Component Analysis (calculation and visualisation with ggplot2) Extra materials: Introduction to the Tidyverse, Introduction to for loops All materials have been built using relevant life sciences/clinical examples. The course has been designed to introduce R from the very basics. Therefore applicants do not need any prior experience to attend, just the desire to learn R. Real life examples with bioinformatic applications are included. 2020-04-01 09:00:00 UTC 2020-04-03 17:00:00 UTC Computational Biology Facility University of Liverpool, Liverpool, United Kingdom University of Liverpool Liverpool Merseyside United Kingdom L69 3GH Computational biology Statistics and probability University of Liverpool Computational Biology Facility ( [] [] workshops_and_courses first_come_first_served R-programmingbiostatistics Statistics R programminglife sciences, bioinformaticsClinical Bioinformatics
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