HughesLab:JTK Cycle: Difference between revisions
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[[Image:JTK_Figure_2.jpg|left|thumb|Figure 2, [http://www.ncbi.nlm.nih.gov/pubmed/20876817 Hughes et al. (2010)]<br>ROC curves showing that JTK_Cycle out-performs COSOPT and Fisher's G-test.]] | [[Image:JTK_Figure_2.jpg|left|thumb|Figure 2, [http://www.ncbi.nlm.nih.gov/pubmed/20876817 Hughes et al. (2010)]<br>ROC curves showing that JTK_Cycle out-performs COSOPT and Fisher's G-test.]] | ||
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JTK_Cycle is a non-parametric algorithm developed in collaboration with [http://scholar.google.com/citations?user=1hw5bX4AAAAJ&hl=en Professor Karl Kornacker], Ohio State University, and [http://bioinf.itmat.upenn.edu/hogeneschlab/index.php Professor John Hogenesch], University of Pennsylvania School of Medicine. | JTK_Cycle is a non-parametric algorithm developed in collaboration with [http://scholar.google.com/citations?user=1hw5bX4AAAAJ&hl=en Professor Karl Kornacker], Ohio State University, and [http://bioinf.itmat.upenn.edu/hogeneschlab/index.php Professor John Hogenesch], University of Pennsylvania School of Medicine. Its purpose is to identify rhythmic components in large, genome-scale | ||
datasets, and estimate their period length, phase, and amplitude.</p> | |||
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JTK_Cycle runs in [http://en.wikipedia.org/wiki/R_%28programming_language%29 R], a statistical language that can be downloaded [http://www.r-project.org/ here]. | |||
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Revision as of 11:09, 8 January 2013
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JTK_Cycle
ROC curves showing that JTK_Cycle out-performs COSOPT and Fisher's G-test.
JTK_Cycle is a non-parametric algorithm developed in collaboration with Professor Karl Kornacker, Ohio State University, and Professor John Hogenesch, University of Pennsylvania School of Medicine. Its purpose is to identify rhythmic components in large, genome-scale datasets, and estimate their period length, phase, and amplitude.
JTK_Cycle runs in R, a statistical language that can be downloaded here.
Hughes Lab
Department of Biology
University of Missouri, St. Louis
(Starting in August, 2013)
