twilight.getmatrix: Internal function to extract the gene expression matrix from...
In twilight: Estimation of local false discovery rate
Description
Usage
Arguments
Value
Author(s)
References
See Also
View source: R/twilight.getmatrix.R
Description
If the input object is of class ExpressionSet, the function extracts the gene expression matrix.
Usage
1
twilight.getmatrix(xin)
Arguments
xin
Input object of class ExpressionSet.
Value
Returns the matrix of gene expression values.
Author(s)
Stefanie Scheid
References
Scheid S and Spang R (2004): A stochastic downhill search algorithm for estimating the local false discovery rate, IEEE TCBB 1(3), 98–108.
Scheid S and Spang R (2005): twilight; a Bioconductor package for estimating the local false discovery rate, Bioinformatics 21(12), 2921–2922.
Scheid S and Spang R (2006): Permutation filtering: A novel concept for significance analysis of large-scale genomic data, in: Apostolico A, Guerra C, Istrail S, Pevzner P, and Waterman M (Eds.): Research in Computational Molecular Biology: 10th Annual International Conference, Proceedings of RECOMB 2006, Venice, Italy, April 2-5, 2006. Lecture Notes in Computer Science vol. 3909, Springer, Heidelberg, pp. 338-347.
See Also
twilight documentation built on Nov. 8, 2020, 5:38 p.m.
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Description Usage Arguments Value Author(s) References See Also
View source: R/twilight.getmatrix.R
Description
If the input object is of class ExpressionSet, the function extracts the gene expression matrix.
Usage
1 | twilight.getmatrix(xin)
|
Arguments
xin |
Input object of class |
Value
Returns the matrix of gene expression values.
Author(s)
Stefanie Scheid
References
Scheid S and Spang R (2004): A stochastic downhill search algorithm for estimating the local false discovery rate, IEEE TCBB 1(3), 98–108.
Scheid S and Spang R (2005): twilight; a Bioconductor package for estimating the local false discovery rate, Bioinformatics 21(12), 2921–2922.
Scheid S and Spang R (2006): Permutation filtering: A novel concept for significance analysis of large-scale genomic data, in: Apostolico A, Guerra C, Istrail S, Pevzner P, and Waterman M (Eds.): Research in Computational Molecular Biology: 10th Annual International Conference, Proceedings of RECOMB 2006, Venice, Italy, April 2-5, 2006. Lecture Notes in Computer Science vol. 3909, Springer, Heidelberg, pp. 338-347.
See Also
R Package Documentation
Browse R Packages
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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