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Feb 26, 2021 · In this ninth edition of his award-winning introduction, John Storey presents a clear and critical survey of competing theories of, and various approaches to, popular culture. Its breadth and theoretical unity, exemplified through popular culture, means that it can be flexibly and relevantly applied across a number of disciplines.
- London
- 9th Edition
The sva package for removing batch effects and other unwanted variation in high-throughput experiments. JT Leek, WE Johnson, HS Parker, AE Jaffe, JD Storey. Bioinformatics 28 (6), 882-883. , 2012. 4542. 2012. The positive false discovery rate: a Bayesian interpretation and the q-value. JD Storey. The annals of statistics 31 (6), 2013-2035.
John D. Storey is a professor in the Lewis-Sigler Institute for Integrative Genomics and the Center for Statistics and Machine Learning at Princeton University. He is a leading researcher in statistical methods in genomics and a fellow of the American Association for the Advancement of Science and the Institute of Mathematical Statistics.
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Apr 30, 2015 · In this 7th edition of his award-winning Cultural Theory and Popular Culture: An Introduction, John Storey has extensively revised the text throughout. As before, the book presents a clear and critical survey of competing theories of and various approaches to popular culture.
- London
- 7th Edition
Jan 17, 2018 · John Storey. Routledge, Jan 17, 2018 - Social Science - 320 pages. In this eighth edition of his award-winning Cultural Theory and Popular Culture: An Introduction, John Storey presents a...
- John Storey
- Routledge, 2018
- 8, illustrated
John D. Storey is the William R. Harman '63 and Mary-Love Harman Professor in Genomics at Princeton University. [1] His research is focused on statistical inference of high-dimensional data, particularly genomic data. Storey was the founding director of the Princeton University Center for Statistics and Machine Learning.
People. John Storey. William R. Harman '63 and Mary-Love Harman Professor in Genomics. Lewis-Sigler Institute for Integrative Genomics. Email. jstorey@princeton.edu. Office. 270D Carl Icahn Laboratory. Research Focus. My lab develops and applies quantitative methods in genomics.
