Abstract

We present Hierarchical Bayesian Analysis of Differential Expression and ALternative Splicing (HBA-DEALS), which simultaneously characterizes differential expression and splicing in cohorts. HBA-DEALS attains state of the art or better performance for both expression and splicing and allows genes to be characterized as having differential gene expression, differential alternative splicing, both, or neither. HBA-DEALS analysis of GTEx data demonstrated sets of genes that show predominant DGE or DAST across multiple tissue types. These sets have pervasive differences with respect to gene structure, function, membership in protein complexes, and promoter architecture.

Details

Title
HBA-DEALS: accurate and simultaneous identification of differential expression and splicing using hierarchical Bayesian analysis
Author
Karlebach, Guy; Hansen, Peter; Diogo FT Veiga; Steinhaus, Robin; Danis, Daniel; Li, Sheng; Anczukow, Olga; Robinson, Peter N  VIAFID ORCID Logo 
Pages
1-20
Section
Method
Publication year
2020
Publication date
2020
Publisher
BioMed Central
ISSN
14747596
e-ISSN
1474760X
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1186/s13059-020-02072-6
ProQuest document ID
2424773343
Copyright
© 2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.