Statistical tests and statistical learning for omics data (2022-11-29)

29 - 30 November 2022 two days, On-site Register here

This advanced statistics course will include feature selection in statistical tests, clustering and statistical learning methods.

Successful completion will be awarded with 1 ECTS.

Learning objectives:

  • Obtaining an overview of current computational systems biology approaches for omics data analysis
  • Understanding the principles behind data pre-processing, quality control and statistical analysis of large-scale biological datasets
  • Obtaining experience in higher-level omics analysis via pathway and network analyses
  • Learning the basics of machine learning analyses for omics sample clustering and classification

Requirements

  • Basic working knowledge of R
  • Have a computer ready with a recent version of R (4.0 or later) and RStudio (1.2 or later) installed. Please have your computer set-up well before the start of the course.

Tuesday (29.11.2022)

Time Topic
9.15 Coffee & virtual get together
9.45 Lecture
  Welcome & introduction
  Data pre-processing, filtering & quality control
  Feature selection and hypothesis tests
  Statistical meta-analysis of omics data
12.30 Lunch break
13.30 Practical tutorial
  Introduction to the example datasets used for the project
  Software installations on student laptops, retrieving public biomedical datasets
  Hands-on data pre-processing & differential abundance analysis
17.00 End

Wednesday (30.11.2022)

Time Topic
9.15 Coffee & virtual get together
9.45 Lecture
  Cellular pathway & network analysis
  Unsupervised machine learning analysis (clustering)
  Supervised machine learning analysis (prediction)
12.30 Lunch break
13.30 Practical tutorial
  Hands-on pathway & network analysis
  Hands-on machine learning analyses
  Conclusion & final discussion
17.00 End

Instructors

Enrico Glaab with Armin Rauschenberger and Veronica Codoni

Registration

Registration is closed.

Adress

The workshop will be held at Roudeneck building (BTL) on 4th floor, meeting room E04.020.

University of Luxembourg, Belval campus

1, Boulevard du Jazz

Esch-sur-Alzette

Contact

Veronica Codoni Milena Zizovic