BIN504 PROBABILISTIC AND STATISTICAL MODELING FOR BIOINFORMATICS
| Course Code: |
9080504 |
| METU Credit (Theoretical-Laboratory hours/week): |
3(3-0) |
| ECTS Credit: |
8.0 |
| Department: |
Bioinformatics |
| Language of Instruction: |
English |
| Level of Study: |
Graduate |
| Course Coordinator: |
Assist.Prof.Dr AYBAR CAN ACAR |
| Offered Semester: |
Fall or Spring Semesters. |
Course Content
This course will introduce statistical modeling and inference techniques applied to biological problems. The course will cover standard statistical methods, such as multiple regression and principle component analysis, and more recent statistical techniques, such as maximum likelihood methods. Among the techniques covered will be Monte-Carlo-Markov chains using the Metropolis-Hastings algorithm and Gibbs sampling. In addition, the course will cover the use of statistical techniques such as Hidden Markov Models to model family of sequence and structures. Kernel methods and Support Vector Machines for computational biology will also be covered.
