Design and analysis of large-scale biological rhythm studies: a comparison of algorithms for detecting periodic signals in biological data

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Design and analysis of large-scale biological rhythm studies: a comparison of algorithms for detecting periodic signals in biological data is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/bioinformatics/DeckardAHHH13
P356DOI10.1093/BIOINFORMATICS/BTT541
P932PMC publication ID4471443
P698PubMed publication ID24058056
P5875ResearchGate publication ID256931731

P50authorAnastasia DeckardQ60419051
P2093author name stringJohn B Hogenesch
Steven B Haase
Ron C Anafi
John Harer
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Analyzing circadian expression data by harmonic regression based on autoregressive spectral estimationQ30984132
Unbiased pattern detection in microarray data seriesQ31043890
Oscillating gene expression determines competence for periodic Arabidopsis root branchingQ33349759
Comparison of pattern detection methods in microarray time series of the segmentation clockQ33358060
Harmonics of circadian gene transcription in mammalsQ33426339
JTK_CYCLE: an efficient nonparametric algorithm for detecting rhythmic components in genome-scale data setsQ33704844
LSPR: an integrated periodicity detection algorithm for unevenly sampled temporal microarray dataQ33812547
Randomization techniques for assessing the significance of gene periodicity resultsQ33986558
Global control of cell-cycle transcription by coupled CDK and network oscillatorsQ34777107
Detecting periodic genes from irregularly sampled gene expressions: a comparison studyQ35209012
Logic of the yeast metabolic cycle: temporal compartmentalization of cellular processes.Q47701307
Are we overestimating the number of cell-cycling genes? The impact of background models on time-series analysisQ48357093
Detecting periodic patterns in unevenly spaced gene expression time series using Lomb-Scargle periodogramsQ48466347
New weakly expressed cell cycle-regulated genes in yeast.Q53649814
Studies in astronomical time series analysis. II - Statistical aspects of spectral analysis of unevenly spaced dataQ55934665
Least-squares frequency analysis of unequally spaced dataQ56562443
P433issue24
P407language of work or nameEnglishQ1860
P921main subjectalgorithmQ8366
biological rhythmQ3848483
P1104number of pages7
P304page(s)3174-3180
P577publication date2013-09-20
P1433published inBioinformaticsQ4914910
P1476titleDesign and analysis of large-scale biological rhythm studies: a comparison of algorithms for detecting periodic signals in biological data
P478volume29

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cites work (P2860)
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Q55490211MICOP: Maximal information coefficient-based oscillation prediction to detect biological rhythms in proteomics data.
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