Modeling allele-specific expression at the gene and SNP levels simultaneously by a Bayesian logistic mixed regression model

Modeling allele-specific expression at the gene and SNP levels simultaneously by a Bayesian logistic mixed regression model

Abstract Background High-throughput sequencing experiments, which can determine allele origins, have been used to assess genome-wide allele-specific expression. Despite the amount of data generated from high-throughput experiments, statistical methods are often too simplistic to understand the compl...

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Bibliographic Details
Main Authors: Jing Xie, Tieming Ji, Marco A. R. Ferreira, Yahan Li, Bhaumik N. Patel, Rocio M. Rivera
Format: Article
Language:English
Published: BMC 2019-10-01
Series:BMC Bioinformatics
Subjects:
Allelic imbalance
Hierarchical generalized linear mixed model
High-throughput sequencing experiments
Single nucleotide polymorphism
Online Access:http://link.springer.com/article/10.1186/s12859-019-3141-6

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http://link.springer.com/article/10.1186/s12859-019-3141-6

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