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| #410 | Statistical Analysis of Microarray Data |
| Description: | |
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This course will provide an overview of statistical issues that arise in the design and analysis of microarray studies. The course will begin with a discussion of the various sources of variability inherent in microarray experiments, methods of evaluating data quality, and data normalization techniques. Focus will then shift to outlining the main types of scientific questions that investigators aim to answer from microarray experiments, accompanied by an in depth discussion of proper design and analysis strategies for addressing each of the specific types of questions. The second day will be a "hands-on" demonstration of BRB Array Tools. This microarray data analysis software package will be used to demonstrate and reinforce some of the concepts discussed in the first day. Students are welcome to bring their own data for in-class exercises. Course materials are available online. | |
| Objectives: | |
Topics to be covered include:
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| Who should attend: | |
| Priority will be given to those using NCI's Advanced Technology Center (ATC), FDA/CBER, and NIAID microarray prints. Others interested in advanced microarray analysis as space permits. | |
| Instructor(s): | |
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Dr. Lisa McShane, Dr. Joanna Shih, Amy Peng, Dr. Kevin Dobbin, Supriya Menezes Biometric Research Branch, Division of Cancer Treatment and Diagnosis, DCB |
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| Time Required: | |
| 8 hours | |
| Sections Available: | ||||
| -- Concluded -- | 410A-09F | October 7 - 8 | 8:30 - 12:30 | 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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