Auxiliary functions for the DESeq2 package to simulate read counts according to the null hypothesis (i.e., with empirical sample size factors, per-gene total counts and dispersions, but without effects of predictor variables) and to compute the empirical false discovery rate.

Author | Mikhail V. Matz |

Date of publication | 2015-05-27 08:55:36 |

Maintainer | Mikhail V. Matz <matz@utexas.edu> |

License | GPL-3 |

Version | 1.0.3 |

**empiricalFDR:** Computing the p-value cutoff to achieve a given FDR.

**empiricalFDR.DESeq2-package:** Simulation-Based False Discovery Rate in RNA-Seq

**fdrBiCurve:** Plots the numbers of null hypothesis rejections

**fdrTable:** Computes false discovery rates for a series of p-value...

**simulateCounts:** Simulating RNA-seq read counts

empiricalFDR.DESeq2

empiricalFDR.DESeq2/NAMESPACE

empiricalFDR.DESeq2/R

empiricalFDR.DESeq2/R/empiricalFDR.DESeq2-internal.R
empiricalFDR.DESeq2/R/fdrTable.R
empiricalFDR.DESeq2/R/empiricalFDR.R
empiricalFDR.DESeq2/R/fdrBiCurve.R
empiricalFDR.DESeq2/R/simulateCounts.R
empiricalFDR.DESeq2/MD5

empiricalFDR.DESeq2/DESCRIPTION

empiricalFDR.DESeq2/man

empiricalFDR.DESeq2/man/simulateCounts.Rd
empiricalFDR.DESeq2/man/empiricalFDR.DESeq2-package.Rd
empiricalFDR.DESeq2/man/empiricalFDR.Rd
empiricalFDR.DESeq2/man/fdrBiCurve.Rd
empiricalFDR.DESeq2/man/fdrTable.Rd
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