x !
Arkistoitu opetussuunnitelma 2008–2009
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
BIOI4250 Introduction to statistical bioinformatics 4 op
Organised by
Bioinformatics
Person in charge
Esa Uusipaikka
Preceding studies
Recommended:
Introduction to statistical inference or similar statistics studies

Learning outcomes

Students will learn how to use statistical inference to solve problems with biological sequences. Students are assumed to know how to calculate: 1) confidence intervals for model parameters and 2) significance levels for statistical hypotheses on model parameters from data consisting of biological sequences and their statistical models consisting of Markov chains and hidden Markov models.

Contents

This course orientates to statistical models, such as Markov chains and hidden Markov models, and their applications to biological sequence analysis. The use of statistical inference is demonstrated with real data sets.

Teaching language

English

Modes of study

Lectures, exercises, and project.

Evaluation

Numeric 1-5.

Further information

Organization responsible: Turku DIT.
Course not given in 2008-09.

Belongs to following study modules

Lääketieteellisen teknologian instituutti
Optional studies (Bioinformatiikka)
2008–2009
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
-
Lääketieteellisen teknologian instituutti