Mini-course compositional data analysis 2024

Date: Jan 9-10 2024

Room: Location TBA

Instructors: Christian L. Müller, Stefanie Peschel, Viet Tran

Welcome!

  • The goal of the workshop is to help participants understand and apply concepts of compositional data analysis
  • Workshop material can be found in the workshop github repository (TBA).

Learning Objectives

At the end of the course, participants will be able to

  • understand key concepts of compositional data analysis
  • apply concepts of compositional data analysis in R

Pre-requisites

Schedule

Tuesday

Time Topic Presenter
9:00 - 10:00 Session 1: Intro to compositional sequencing data Instructor CLM
10:15 - 11:00 Presentation of student data (fast track) all
11:15 - 12:00 Session 2: Principles of compositional data Instructor CLM
12:00 - 13:00 Lunch break all
13:00 - 14:00 Session 3: Exploratory analysis of compositional data in R (part I) Instructor CLM, VT
14:15 - 15:15 Session 4: Exploratory analysis of compositional data in R (part II) Instructor CLM, SP
15:15 - 15:45 Fika all
15:45 - 17:00 Session 5: Differential abundance testing and regression Instructor CLM, VT
17:00 - open end Application to own data all

Wednesday

Time Topic Presenter
9:00 - 09:30 Recap and open issues Instructor CLM
9:45 - 10:45 Session 6: Regression analysis for compositional data Instructor CLM, VT
11:00 - 12:00 Session 7: Estimating microbial association networks Instructor CLM, SP
12:00 - 13:00 Lunch break all
13:00 - 13:30 Session 8: Practical applications of learned concepts in R (regression) Instructor SP, VT
13:30 - 14:00 Session 8: Practical applications of learned concepts in R (networks) Instructor SP, VT
14:15 - 15:15 Session 9: Time series analysis for compositional data Instructor CLM
15:15 - 15:45 Fika all
15:45 - 16:15 Session 10: Recap and further topics Instructor CLM
16:15 - open end Application to own data all

Additional material

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