ABSR specifications


Unique identifier OMICS_33288
Alternative name Autoregressive Bayesian Spectral Regression


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Publication for Autoregressive Bayesian Spectral Regression

ABSR citations


Guidelines for Genome Scale Analysis of Biological Rhythms

J Biol Rhythms
PMCID: 5692188
PMID: 29098954
DOI: 10.1177/0748730417728663

[…] timating rhythmic parameters in large data sets. These include but are not limited to Haystack (), Lomb-Scargle (), ARSER (), CircWaveBatch (), JTK_Cycle (), and its successors, RAIN (), eJTK (), and ABSR (). Each has different strengths and weaknesses. To briefly summarize these methods, tests based on curve fitting such as COSOPT () are mathematically intuitive and work well but are underpowered […]


Finding Clocks in Genes: A Bayesian Approach to Estimate Periodicity

Biomed Res Int
PMCID: 4909896
PMID: 27340654
DOI: 10.1155/2016/3017475
call_split See protocol

[…] The proposed algorithm, the autoregressive Bayesian spectral regression (ABSR), is developed to identify rhythmic patterns in gene expression profiles. The procedure to obtain periodic information from time-course gene expressio […]

ABSR institution(s)
Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA; Department of Molecular and Cellular Physiology, University of Cincinnati, Cincinnati, OH, USA; Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH, USA
ABSR funding source(s)
Supported by the Defense Advanced Research Projects Agency (D12AP00005), Charles Phelps Taft Research Center and the Department of Mathematical Sciences at University of Cincinnati.

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