twilight
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twilight is an R/Bioconductor package that includes several functions for the statistical analysis of two-condition microarray data. The main algorithm for estimating the local false discovery rate is described in Scheid and Spang (2004a). The newer versions of twilight include the permutation filtering algorithm introduced in Scheid and Spang (2006). |
Publications
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Compensating for unknown confounders in microarray data analysis using filtered permutations
Scheid S and Spang R.
Journal of Computational Biology, 2007 Jun;14(5):669-81.
[ pmid: 17683267 |
doi: 10.1089/cmb.2007.R009 ]
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A stochastic downhill search algorithm for estimating the local false discovery rate
Scheid S and Spang R.
IEEE Transactions on Computational Biology and Bioinformatics 1(3):98-108.
[ abstract |
pdf |
notice ]
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Estimation of Local False Discovery Rates - User's Guide to the Bioconductor Package TWILIGHT
Scheid S and Spang R.
CompDiag Technical Report Nr. 2004/01 Nov. 2004
[ pdf ]
For further information please visit the compdiag projects Local
False Discovery Rate or Permutation
Filtering.
Download
Download the package source or windows binary directly from
the Bioconductor
WWW-site. To run the package, you need R or higher and the R
packages splines and stats. Package twilight includes a user's
manual which can be downloaded separately from above.
→ the released version
→ the development version
Non-academic users
For commercial use of TWILIGHT, please visit the webpage of the NGFN Technology Transfer Center on genome-marketplace.
[ pdf ]
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