XBSeq: Test for differential expression for RNA-seq data

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 and noise signals 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.

Package details

AuthorYuanhang Liu
Bioconductor views DifferentialExpression ExperimentalDesign ImmunoOncology RNASeq Sequencing Software
MaintainerYuanhang Liu <liuy12@uthscsa.edu>
LicenseGPL (>=3)
URL https://github.com/Liuy12/XBSeq
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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XBSeq documentation built on Nov. 8, 2020, 11:12 p.m.