XBSeq-package: Differential expression analysis of RNA sequencing data by...

Description Details Author(s) References

Description

We developed a novel algorithm, XBSeq, where a statistical model was established based on the assumption that observed signals are the convolution of true expression signals and sequencing noises. The mapped reads in non-exonic regions are considered as sequencing noises, which follows a Poisson distribution. Given measureable observed signal and background noise from RNA-seq data, true expression signals, assuming governed by the negative binomial distribution, can be delineated and thus the accurate detection of differential expressed genes.

Details

Package: XBSeq
Type: Package
Version: 1.1.0
Date: 2015-12-02
License: >=GPL3
Imports: DESeq2, Biobase, pracma, matrixStats, ggplot2,locfit, methods, BiocGenerics, dplyr, plotly, MetricsGraphics

Author(s)

Yuanhang Liu

Maintainer: Yuanhang Liu <[email protected]>

References

H. I. Chen, Y. Liu, Y. Zou, Z. Lai, D. Sarkar, Y. Huang, et al., "Differential expression analysis of RNA sequencing data by incorporating non-exonic mapped reads," BMC Genomics, vol. 16 Suppl 7, p. S14, Jun 11 2015.


XBSeq documentation built on May 2, 2018, 4 a.m.