Negative binomial additive model for RNA-Seq data analysis

Negative binomial additive model for RNA-Seq data analysis

Abstract Background High-throughput sequencing experiments followed by differential expression analysis is a widely used approach for detecting genomic biomarkers. A fundamental step in differential expression analysis is to model the association between gene counts and covariates of interest. Exist...

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Bibliographic Details
Main Authors: Xu Ren, Pei-Fen Kuan
Format: Article
Language:English
Published: BMC 2020-05-01
Series:BMC Bioinformatics
Subjects:
Bayesian shrinkage
Differential expression analysis
Generalized additive model
RNA-Seq
Spline model
Online Access:http://link.springer.com/article/10.1186/s12859-020-3506-x

Internet

http://link.springer.com/article/10.1186/s12859-020-3506-x

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