x !
Arkistoitu opetussuunnitelma 2015–2017
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
BIO4716 SGN-53007 Computational Diagnostics 5 op
Organised by
Master's Degree Programme in Bioinformatics

General description

Course organized by TUT, see TUT study guide for up-to-date information.

Learning outcomes

After completing the course, the student can:
- gained a basic understanding of the definition and the meaning of computational diagnostics and its utility for biomedical research.
- Case studies will be discussed illustrating the interplay between computational and statistical methods that are applied to large-scale and high-dimensional data sets from genomic and genetic experiments.
- Moreover, the student will learn how to practically approach such problems by using the statistical programming language R.
- In general, the course teaches statistical thinking in the context of biomedical problems, i.e., the adaptation of machine learning methods in a problem specific manner.


- Classification of disease groups
- Biomarker identification
- Survival analysis
- Human disease network

Modes of study


Numeric 1-5.

Belongs to following study modules

Archived Teaching Schedule. Please refer to current Teaching Shedule.