TWILIGHT specifications


Unique identifier OMICS_14939
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.56.0
Stability Stable
stats, graphics, Biobase, grDevices, R(>=2.10), Biobase(>=1.12.0), splines(>=2.2.0), stats(>=2.2.0), golubEsets(>=1.4.2), vsn(>=1.7.2)
Maintained Yes



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  • person_outline Volker Brendel <>

Publication for TWILIGHT

TWILIGHT in publications

PMCID: 3278467
PMID: 22348113
DOI: 10.1371/journal.pone.0031587

[…] equal to or less than 0.1. we used this liberal value in order to reduce a type ii error in the initial analysis. the analysis was performed using the r statistical package with bioconductor package twilight , ., to reduce a type i error, we further combined the results of the six datasets using meta-analysis for the initially selected micrornas. the cochran's q statistic was used to test […]

PMCID: 1940264
PMID: 17603882
DOI: 10.1186/1471-2105-8-229

[…] . note that the root mean square errors of our estimator were less than or equal to 0.126 for the 24 simulated datasets, while it could reach 0.130, 0.132, 0.145 and 0.292 for locfdr, localfdr, twilight and pava.fdr methods, respectively., concerning computing time, our procedure was rapid, while the twilight method was cumbersome and impracticably long for large numbers of tested […]

PMCID: 1199583
PMID: 16086831
DOI: 10.1186/1471-2105-6-199

[…] to the previous estimate;function qvalue or estimatep0., 6. the successive elimination procedure (sep) [];selects a subset which represents the null distribution by behaving like a uniform;function twilight., 7. a new method based on a moment generating function approach (mgf);function, 8. a poisson regression approach (pre); an adaptation of [,];function, the bootstrap estimate […]

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TWILIGHT institution(s)
Max Planck Institute for Molecular Genetics, Computational Diagnostics, Berlin, Germany
TWILIGHT funding source(s)
This work was supported by BMBF grants 031U109C and 03U117.

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