Tutorial Details: Reviewing Statistics for Microarray Data Analysis: Descriptive Statistics, Graphics, and Basic Hypothesis Testing
|Date:||Thursday, July 8, 2004, 01:00 pm - 03:00 pm|
|Location:||Room 101 Walter|
|Instructor(s):||Haoyu Yu, MSI|
Microarrays are becoming very popular and important tools for understanding gene expression. Proper interpretation of the results requires a reasonable understanding of the statistics involved in analyzing the data.
This tutorial is designed to give an explanation of the necessary statistical concepts for interpreting the results from microarray experiments. We will incorporate the most frequently used tools in GeneData Expressionist to demonstrate and aid in understanding the statistics behind the tools.
In the first section we will cover topics like viewing and describing data, such as histograms and box plots. We will also cover some topics in the basics of hypothesis testing and analysis of variance.