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Screening large-scale association study data : exploiting multi-gene interactions with random forests

Author: Kathryn L Lunetta; Yan Meng
Publisher: London : Henry Stewart Talks, 2007.
Series: Henry Stewart talks., Biomedical & life sciences collection., Genetic epidemiology II : latest developments.
Edition/Format:   eVideo : Clipart/images/graphics : EnglishView all editions and formats
Summary:
Audio-visual presentation : Screening association studies with a two-stage approach ; Multiplicative models with heterogeneity ; Random forest analysis ; Random forest variable importance ; Power ; Effect of linkage disequilibrium ; Genome-wide association studies ; Computational issues.
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Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Kathryn L Lunetta; Yan Meng
OCLC Number: 310381887
Notes: Title from title frames.
Animated audio-visual presentation with synchronized narration.
Description: 1 streaming video file (39 min.) : digital, mono, SWF file, sound, color.
Details: Mode of access: World Wide Web.; System requirements: Operating System: PC Windows 2000+, Mac OSX+ 3.2. Browser Compatibility: IE6+, Firefox 2+, Opera 9+, Safari 2+ 3.3. Browser settings: enable JavaScript, enable popups from the Henry Stewart Talks site. 3.4. Required Browser Plugins & Viewers: Adobe (Macromedia) Flash Player 7+, Adobe Acrobat Reader 6.0+.
Contents: Screening association studies with a two-stage approach --
Multiplicative models with heterogeneity --
Random forest analysis --
Random forest variable importance --
Power --
Effect of linkage disequilibrium --
Genome-wide association studies --
Computational issues.
Series Title: Henry Stewart talks., Biomedical & life sciences collection., Genetic epidemiology II : latest developments.
Responsibility: Kathryn Lunetta [and] Yan Meng.
More information:

Abstract:

Audio-visual presentation : Screening association studies with a two-stage approach ; Multiplicative models with heterogeneity ; Random forest analysis ; Random forest variable importance ; Power ; Effect of linkage disequilibrium ; Genome-wide association studies ; Computational issues.

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