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.
|Bioconductor views||DifferentialExpression ExperimentalDesign RNASeq Sequencing Software|
|Maintainer||Yuanhang Liu <firstname.lastname@example.org>|
|Package repository||View on Bioconductor|
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