#412 | Analyzing Microarray Data using the mAdb System |
Description: | |
This is a hands-on course for current users of the mAdb system. The course focuses on analysis methods and tools in the mAdb system suitable for analyzing multiple array datasets representing two or more classes. A number of sample datasets are provided and used to demonstrate analysis workflow in the mAdb system. Tools in the mAdb system for class comparison, class discovery and class prediction will be discussed. PowerPoint slides for this class are available. | |
Objectives: | |
Topics to be covered include:
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Who should attend: | |
Current users of the mAdb system. CIT course 411 "Introduction to mAdb" is a necessary prerequisite. CIT course 410 "Statistical Analysis of Microarray Data" is a recommended prerequisite. | |
Instructor(s): | |
Esther Asaki, Dr. Yiwen He, Computational Bioscience and Engineering Laboratory, CIT | |
Time Required: | |
6 hours | |
Sections Available: | ||||
-- Concluded -- | 412-09F | October 29 - 30 | 1:00 - 4:00 | Building 12A, Room B51 |
NOTE: Although this course has already taken place, we'll put you on a waiting list for the next available session. |
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