• Course Description
  
  • This course covers probabilistic and statistical methods used in bioinformatics problems. Main topics include:
    • Quality control of high-throughput biological data,
    • Statistical testing and significance for large biological data analysis,
    • Clustering of large biological data,
    • Supervised learning with high-dimesional biological data,
    • Multidimensional analysis and visualization on large biomedical data,
    • Statistical network analysis for biological systems and pathways,
    • Trends and statistical challenges in genome-wide association studies.
  
  
• Lecture Time/Place UPDATED
  
  • Tuesdays - 11:40 to 12:30 in S-05 (or S-04 if available) (Informatics Institute Building).
  • Saturdays - 13:40 to 15:30 in A-101 (Computer Engineering Building)
  
  
• Course Objectives
  
  • The primary objective of this course is to expose students to fundamentals of statistical and probabilistic techniques used for bioinformatics problems.
  
  
• Prerequisites
  
  • No formal prerequisites. However, some familiarity with probability and statistics is needed.


• Reading Material
  
  • Textbook:
    Statistical Bioinformatics for Medical and Life Science Researchers, Jae K. Lee (editor), Wiley-Blackwell, 2010.
    


• Grading Policy
  
  • Assignments: 40%
  • Midterm exam : 30%
  • Final exam : 30%

Tolga Can   (tcan@ceng.metu.edu.tr)
Office Location: Computer Engineering, B-109
Office Hours: By appointment. Contact the instructor