Short reference card
Colored Scripts in PDF
Leaded by Petr NAZAROV
Dates: 23, 26, 27 May 2016
Time: 9:00-18:00 with 1 hour lunch break
Place: MSA 2.200, Maison du Savoir, Campus Belval, University
Workload: 30 hours (3 full days) + independent work (report writing)
Number of Credit Points: 2 ECTS
Course Objective: This course is devoted to practical aspects of statistical data analysis and oriented at PhD students working with biological data. Participants will learn how to import, visualize and analyse their data using R scripting.
Learning Outcomes: We shall start with basic R programing, see how to load and transform biological data in R. Next we shall make a short revise of basic statistical methods (descriptive statistics, tests, ANOVA) and learn how to implement this methods in R. Finally advanced topics will be touched in the last 2 sessions including gene expression (microarray and RNASeq) Finally advanced topics will be touched in the last 2 sessions: gene expression (microarray and RNASeq) data analysis, functional enrichment and survival data analysis.
Session 1: Introduction to programming in R
Session 2: Basic statistics. Distributions.
Session 3: Statistical tests.
Session 4: Linear models (ANOVA, regression)
Session 5: PCA, clustering, prediction and classification
Session 6: Expression data analysis. Enrichment analysis. Survival analysis.
Computers are available in the class, but participants are welcome to bring their laptops with R/Bioconductor installed. RStudio may be a useful tool for participants as well.
Responsible Person: Petr Nazarov (petr.nazarov[at]lih.lu)
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