Course Catalog 2010-2011
Basic

Basic Pori International Postgraduate Open University

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Course Catalog 2010-2011

SGN-6176 Microarray Data Analysis, 5 cr

Person responsible

Reija Autio

Lessons

Study type P1 P2 P3 P4 Summer Implementations Lecture times and places
Lectures
Excercises
Assignment


 


 


  		 4 h/week
 2 h/week
 20 h/per


  		SGN-6176 2010-01 Tuesday 10 - 12, TB223
Thursday 14 - 16, TB224

Requirements

Final examination, weekly exercises, and an assignment
Completion parts must belong to the same implementation

Learning outcomes

After the course, student can: - list the most common microarrays used in high-throughput analysis, - interpret the results of gene expression microarrays, - apply commonly used methods for analyzing microarray data, - compare various methods used in microarray data analysis, - build workflows for microarray data analysis.

Content

Content Core content Complementary knowledge Specialist knowledge
1. DNA Microarray experiments      
2. Statistical methods for large scale data analysis.      
3. Design and analysis of microarray experiments.      
4. Data classification and clustering.      

Evaluation criteria for the course

Final examination, presence in exercises, and assignment.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Partial passing:

Completion parts must belong to the same implementation

Study material

Type Name Author ISBN URL Edition, availability, ... Examination material Language
Book   Bioinformatics and Computational Biology Solutions Using R and Bioconductor   Gentleman, Carey, Huber, Irizarry and Dudoit            English  
Book   DNA Microarray Data Analysis   Tuimala and Laine   952-5520-11-0          English  

Prerequisite relations (Requires logging in to POP)

Correspondence of content

There is no equivalence with any other courses

Additional information

Student will learn many preprocessing, normalization and analysis methods for data mining of large scale data. In the course, the methods are used for analyzing DNA microarray data, but applicable to other types of large scale data as well. Student will learn the basics of microarray technology with several data mining options.
Suitable for postgraduate studies

More precise information per implementation

Implementation Description Methods of instruction Implementation
SGN-6176 2010-01 Student will learn many preprocessing, normalization and analysis methods for data mining of large scale data. In the course, the methods are used for analyzing DNA microarray data, but applicable to other types of large scale data as well. Student will learn the basics of microarray technology with several data mining options.        

Last modified09.11.2010