This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see XBSeq.
Bioconductor version: 3.9
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.
Author: Yuanhang Liu
Maintainer: Yuanhang Liu <liuy12 at uthscsa.edu>
Citation (from within R,
enter citation("XBSeq")
):
To install this package, start R (version "3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("XBSeq")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("XBSeq")
HTML | R Script | Differential expression and apa usage analysis of count data using XBSeq package |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, ExperimentalDesign, ImmunoOncology, RNASeq, Sequencing, Software |
Version | 1.16.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (4 years) |
License | GPL (>=3) |
Depends | DESeq2, R (>= 3.3) |
Imports | pracma, matrixStats, locfit, ggplot2, methods, Biobase, dplyr, magrittr, roar |
LinkingTo | |
Suggests | knitr, DESeq, rmarkdown, BiocStyle, testthat |
SystemRequirements | |
Enhances | |
URL | https://github.com/Liuy12/XBSeq |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | XBSeq_1.16.0.tar.gz |
Windows Binary | XBSeq_1.16.0.zip |
Mac OS X 10.11 (El Capitan) | XBSeq_1.16.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/XBSeq |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/XBSeq |
Package Short Url | https://bioconductor.org/packages/XBSeq/ |
Package Downloads Report | Download Stats |
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