JTK-CYCLE: An efficient nonparametric algorithm for detecting rhythmic components in genome-scale data sets

Journal of Biological Rhythms

Volumn 25, Issue 5, 2010, Pages 372-380

  Hughes, Michael E ^a   Hogenesch, John B ^b   Kornacker, Karl ^c  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c OHIO STATE UNIVERSITY   (United States)

Author keywords

biological oscillations; circadian rhythms; genomics; microarrays; statistical methods; systems biology

Indexed keywords

ALGORITHM; ANIMAL; ARTICLE; CELL STRAIN 3T3; CIRCADIAN RHYTHM; GENE EXPRESSION PROFILING; GENETICS; GENOME; METHODOLOGY; MICROARRAY ANALYSIS; MOUSE; PERIODICITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ANIMALS; CIRCADIAN CLOCKS; CIRCADIAN RHYTHM; GENE EXPRESSION PROFILING; GENOME; MICE; MICROARRAY ANALYSIS; NIH 3T3 CELLS; PERIODICITY; SENSITIVITY AND SPECIFICITY;

EID: 77957266573     PISSN: 07487304     EISSN: 15524531     Source Type: Journal    
DOI: 10.1177/0748730410379711     Document Type: Article

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