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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 |
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Author | Yuanhang Liu |
Bioconductor views | DifferentialExpression ExperimentalDesign ImmunoOncology RNASeq Sequencing Software |
Maintainer | Yuanhang Liu <liuy12@uthscsa.edu> |
License | GPL (>=3) |
Version | 1.22.0 |
URL | https://github.com/Liuy12/XBSeq |
Package repository | View on Bioconductor |
Installation |
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