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Study and discussion of computational approaches and algorithms for contemporary problems in functional genomics. Topics include DNA chip design, experimental data normalization, expression data representation standards, proteomics, gene clustering, self-organizing maps, Boolean networks, statistical graph models, Bayesian network models, continuous dynamic models, statistical metrics for model validation, model elaboration, experiment planning, and the computational complexity of functional genomics problems.
- Subject:
- Applied Science
- Biology
- Computer Science
- Life Science
- Material Type:
- Full Course
- Provider:
- M.I.T.
- Provider Set:
- M.I.T. OpenCourseWare
- Author:
- Gifford, David
- Jaakkola, Tommi Sakari
- Date Added:
- 01/01/2005