Spacebar See Links Below CIT Home Page CIT Site Map CIT Logo
Training Banner - Classroom Picture
Training Home | Courses | My Training | Contact Us
#412Analyzing 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:
  • dataset navigation/manipulation
  • group assignment and advanced filtering techniques
  • analysis tools for multiple array study
    • class comparison - statistical group comparison
    • class discovery - clustering, PCA and MDS
    • class prediction - PAM
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.
Course Listing

Home | Index | Map | Comments | Disclaimers | Privacy | Accessibility