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Transcript of 1 Statistics 416 Statistical Design and Analysis of Microarray Experiments 1/12/2009 Copyright ©...
![Page 1: 1 Statistics 416 Statistical Design and Analysis of Microarray Experiments 1/12/2009 Copyright © 2009 Dan Nettleton.](https://reader036.fdocuments.in/reader036/viewer/2022072015/56649ecf5503460f94bdd453/html5/thumbnails/1.jpg)
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Statistics 416
Statistical Design and Analysis of Microarray Experiments
1/12/2009
Copyright © 2009 Dan Nettleton
![Page 2: 1 Statistics 416 Statistical Design and Analysis of Microarray Experiments 1/12/2009 Copyright © 2009 Dan Nettleton.](https://reader036.fdocuments.in/reader036/viewer/2022072015/56649ecf5503460f94bdd453/html5/thumbnails/2.jpg)
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Instructor: Dan Nettleton
• 239C Kildee Hall
• http://www.public.iastate.edu/~dnett/
• 294-7754
• Office Hours: Monday and Friday from 10:00-10:50 and other times appointment
![Page 3: 1 Statistics 416 Statistical Design and Analysis of Microarray Experiments 1/12/2009 Copyright © 2009 Dan Nettleton.](https://reader036.fdocuments.in/reader036/viewer/2022072015/56649ecf5503460f94bdd453/html5/thumbnails/3.jpg)
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About Statistics 416
• Statistics 416 is for graduate students outside of statistics interested in learning how to use statistical methods to design and analyze microarray experiments.
• Statistics 401 is a prerequisite for Statistics 416.
• Statistics 416 is a statistics course rather than a biology or technology course.
• However, we will necessarily spend time discussion the technology in order to better understand design and analysis issues.
![Page 4: 1 Statistics 416 Statistical Design and Analysis of Microarray Experiments 1/12/2009 Copyright © 2009 Dan Nettleton.](https://reader036.fdocuments.in/reader036/viewer/2022072015/56649ecf5503460f94bdd453/html5/thumbnails/4.jpg)
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About Statistics 416
• Course content heavily influenced by my interactions with ISU faculty, students, and staff engaged in microarray experimentation.
• We will focus on statistical methods for identifying differentially expressed genes and perhaps briefly touch upon other uses of microarray technology.
• We will study design of experiments that use microarray slides rather than design of the slides themselves.
![Page 5: 1 Statistics 416 Statistical Design and Analysis of Microarray Experiments 1/12/2009 Copyright © 2009 Dan Nettleton.](https://reader036.fdocuments.in/reader036/viewer/2022072015/56649ecf5503460f94bdd453/html5/thumbnails/5.jpg)
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Students completing STAT 416 should
• gain a sound understanding of the statistical principles important for good microarray experimental design and analysis,
• be able to design and analyze their own microarray experiments,
• become comfortable using the R statistical computing environment, and
• be able to offer an informed critique of the statistical aspects of microarray experimentation and analysis described in scientific research papers.
![Page 6: 1 Statistics 416 Statistical Design and Analysis of Microarray Experiments 1/12/2009 Copyright © 2009 Dan Nettleton.](https://reader036.fdocuments.in/reader036/viewer/2022072015/56649ecf5503460f94bdd453/html5/thumbnails/6.jpg)
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Computing
• We will use R (http://www.r-project.org/) extensively throughout the course.
• Students are expected to become familiar with the R statistical computing environment.
• R is free and may be downloaded at http://streaming.stat.iastate.edu/CRAN/
• We may also use SAS occasionally.
![Page 7: 1 Statistics 416 Statistical Design and Analysis of Microarray Experiments 1/12/2009 Copyright © 2009 Dan Nettleton.](https://reader036.fdocuments.in/reader036/viewer/2022072015/56649ecf5503460f94bdd453/html5/thumbnails/7.jpg)
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No Required Textbook
• Notes posted prior to class.
• Homework assignments will be made available on the course website.
![Page 8: 1 Statistics 416 Statistical Design and Analysis of Microarray Experiments 1/12/2009 Copyright © 2009 Dan Nettleton.](https://reader036.fdocuments.in/reader036/viewer/2022072015/56649ecf5503460f94bdd453/html5/thumbnails/8.jpg)
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Grading in Statistics 416
• 25% homework
• 25% midterm exam
• 15% project (written & oral presentation)
• 35% final exam
See syllabus for more detail.