Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data-Reference-Cited by-同舟云学术

Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data

Published:2018-09-19 Issue:1 Volume:75 Page:183-192
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Li Qiwei¹,Cassese Alberto²^ORCID,Guindani Michele³,Vannucci Marina⁴^ORCID

Affiliation:

1. Department of Clinical SciencesUniversity of Texas Southwestern Medical Center Dallas Texas U.S.A.

2. Department of Methodology and StatisticsFaculty of Psychology and NeuroscienceMaastricht University Maastricht, The Netherlands

3. Department of StatisticsUniversity of California Irvine California U.S.A.

4. Department of StatisticsRice University Houston Texas U.S.A.

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.12962

Reference36 articles.

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5. A survey of best practices for RNA‐Seq data analysis;Conesa A.;Genome Biology,2016

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