To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("XBSeq")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: Release (3.5)
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 and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("XBSeq")
| HTML | R Script | Differential expression and apa usage analysis of count data using XBSeq package |
| Reference Manual | ||
| Text | NEWS |
| biocViews | DifferentialExpression, ExperimentalDesign, RNASeq, Sequencing, Software |
| Version | 1.6.0 |
| In Bioconductor since | BioC 3.2 (R-3.2) (2 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 | |
| Build Report |
Follow Installation instructions to use this package in your R session.
| Source Package | XBSeq_1.6.0.tar.gz |
| Windows Binary | XBSeq_1.6.0.zip |
| Mac OS X 10.11 (El Capitan) | XBSeq_1.6.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/XBSeq |
| Package Short Url | http://bioconductor.org/packages/XBSeq/ |
| Package Downloads Report | Download Stats |
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