Schedule:	Spring 2002
Schedule:	10:55-12:10pm, Tues/Thur
Places:	025 Old Chemistry Building (primary classroom)
Instructors:	Joe Nevins, Department of Genetics Mike West, Duke Statistics

Prerequisites for this course include BGT 204 and BGT 206 or equivalent, facility with statistical modelling at the level of STA 214, 244 or equivalent, and facility in applied computing (e.g., using Matlab or Splus) required. The course will require students to develop analyses of expression data using various techniques, and programming is necessary for this; we will be using Matlab and providing support for that, though other environments (such as Splus) could be used.

Topics:

• Gene expression: biology and biochemistry: gene pathways and regulation
• Gene expression: measurement, technology and applications
• DNA microarrays - technology, data and analytics
• Statistical and computations issues, models and methods for DNA microarray data mining:
  - graphical and numerical exploratory data analysis
  - classification and discrimination
  - prediction and regression analysis methods
  - statistical inference and computation for microarray data analysis

  Examples in ...

  - phenotyping: understanding genes implicated in clinical and physiological outcomes

  - cancer classification (breast cancer, leukemia, ..)

  - pattern analysis in cell cycle regulations, and other areas