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Course unit, curriculum year 2023–2024
BBT.BI.202

Biological Data Analysis, 5 cr

Tampere University
Teaching periods
Active in period 2 (23.10.2023–31.12.2023)
Course code
BBT.BI.202
Language of instruction
English
Academic years
2021–2022, 2022–2023, 2023–2024
Level of study
Advanced studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Juha Kesseli
Responsible organisation
Faculty of Medicine and Health Technology 100 %
Coordinating organisation
MET Studies 100 %

In the context of genome-wide high throughput data, we will study the following topics:

  • Basics of statistical modeling

  • R environment: Basics, reading and writing data, visualization, database access, using libraries

  • Clustering

  • Applied hypothesis testing

  • Multivariate analysis

  • Graphs

  • Supervised learning

    Survival analysis

Learning outcomes
Prerequisites
Compulsory prerequisites
Learning material
Equivalences
Kokonaisuudet, joihin opintojakso kuuluu
Completion option 1

Participation in teaching

23.10.2023 19.12.2023
Active in period 2 (23.10.2023–31.12.2023)