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  • Computational challenges and performance optimizations in NGS data analyses

    3 - 6 September 2013

    London, United Kingdom

    Computational challenges and performance optimizations in NGS data analyses 2013-09-03 01:00:00 UTC 2013-09-06 01:00:00 UTC The Francis Crick Institute London, United Kingdom London United Kingdom Bioinformatics [] [] [] workshops_and_courses [] []
  • R for data science

    31 March - 3 April 2020

    Liverpool, United Kingdom

    R for data science The course covered content for these learning objectives: To write your own custom functions To use for loops, apply functions and if statements To analyse large matrices of data in a semi-automated way To normalise data To quantify and correct batch effect To undertake the most common clustering algorithms including k-means and hierarchical To perform variable selection and present these results in different plots including heatmaps To do 2-way ANOVA To undertake multivariate modelling A brief introduction to machine learning. The course included brief theoretical introductions followed by hands on exercises based on real life research examples. 2020-03-31 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 Statistics and probability Bioinformatics University of Liverpool Computational Biology Facility ( [] [] 20 workshops_and_courses registration_of_interest R ProgrammingStatistical-model Statistics Pre-processingTranscriptomicsMetabolomicsProteomics

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