Statistics 516X Lecture Notes
Spring 2007
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Dan Nettleton's Home Page
Lecture Notes
Preliminaries
   
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- Introduction to Statistical Design and Analysis of Microarray Experiments
   
PowerPoint
   
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- Some Basic Biology Related to Microarray Technology
   
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- The Basics of cDNA Microarray Technology
   
PowerPoint
   
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- The Basics of Oligonucleotide Microarray Technology
   
PowerPoint
   
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- The Basics of Microarray Image Processing
   
PowerPoint
   
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- Normalization Methods for Two-Color Microarray Data
   
PowerPoint
   
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- Normalization and Construction of Expression Measures for Affymetrix GeneChip Data
   
PowerPoint
   
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- Introduction to Experimental Design
   
PowerPoint
   
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- Split Plot Experimental Designs
   
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- Incomplete Block Experimental Designs
   
PowerPoint
   
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- Latin Square Experimental Designs
   
PowerPoint
   
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- Introduction to Mixed Linear Models
   
PowerPoint
   
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- Choosing between Competing Experimental Designs
   
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- Multiple Testing Methods for the Analysis of Microarray Data
   
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- Mixture Modeling of the p-value Distribution
   
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- Introduction to Randomization Tests     PowerPoint
   
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- Significance Analysis of Microarrays (SAM)
   
PowerPoint
   
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- Estimation of Gene-Specific Variances
   
PowerPoint
   
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- Parametric Empirical Bayes Methods for Microarrays
   
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- A Hidden Markov Model for Microarray Time Course Data in Multiple Biological Conditions
   
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- Mixture modeling of the distribution of p-values from t-tests
   
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- Cluster Analysis of Microarray Data
   
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- Identifying Differentially Expressed Gene Categories
   
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- Discussion of Hidden Markov Models for Microarray
Time Course Data in Multiple
Biological Conditions
   
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- Rhonda DeCook's Presentation on eQTL Analysis
   
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Last Modified Monday, 16-Apr-2007 11:39:34 CDT