SGN-6156 Computational Systems Biology II, 5 cr
Harri Lähdesmäki, Reija Autio
|Lecture times and places||Target group recommended to|
Participation in the exercises, final examination and an assignment.
In this course, student will learn many preprocessing, normalization and analysis methods for data mining of large scale data. 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. This course provides the basic knowledge of computational methods used insystems biology.
|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|
Exam, exercises and assignment.
Numerical evaluation scale (1-5) will be used on the course
|Type||Name||Author||ISBN||URL||Edition, availability, ...||Examination material||Language|
|Book||DNA Microarray Data Analysis||Tuimala and Laine||English|
|Lecture slides||Lecture slides and additional material (to be specified later)||English|
|SGN-6106 Computational Systems Biology I||Obligatory|
|Description||Methods of instruction||Implementation|
Contact teaching: 0 %
Distance learning: 0 %
Self-directed learning: 0 %