Section outline

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    Statistical methods for big data in life sciences and health with R

    Lausanne, 4-7 June 2018

    University of Lausanne, room 2020 - Génopode  & room 321 - Amphipôle

    This page is addressed to registered participants. To access course description and application form, please click here.

    For any assistance, please contact training@sib.swiss.


  • Schedule

    Subject to changes

    Day 1.

    • Overview: big data case studies in health domain
    • Identify the general challenges behind big data analysis (model and overfitting)
    • Big data visualisation

    Day 2. 

    • RevoScaleR 
    • Linear models

    Day 3.

    • Big data exploration and classifications
    • Machine learning and decisional algorithms – unsupervised learning

    Day 4.

    • Introduction to: Decision Tree, Random forest, Neural Networks, Deep learning