BNBR specifications


Unique identifier OMICS_29075
Alternative name Bayesian Negative Binomial Regression
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes




No version available


  • person_outline Xiaoning Qian
  • person_outline Mingyuan Zhou
  • person_outline Siamak Zamani Dadaneh

Publication for Bayesian Negative Binomial Regression

BNBR citations


Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer’s disease

Genome Med
PMCID: 5088659
PMID: 27799057
DOI: 10.1186/s13073-016-0355-3

[…] jor brain cell types: astrocyte, endothelial, microglia, neuron, and oligodendrocyte. Genes with less than 50 reads across all samples were discarded. The remaining gene count data were analyzed by a Bayesian negative binomial regression model with cell type identity, basal expression (or library size), and subject source incorporated as predictors by making use of the RStan source code provided i […]


Single Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity

Cell Syst
PMCID: 5052454
PMID: 27641957
DOI: 10.1016/j.cels.2016.08.010

[…] t of the mean, it can be described as σ=rμ with overdispersion factor r. Hence,a=μr2−1b=r2−1.By attaching prior distributions to the overdispersion factor r and the coefficients βk, we acquire a full Bayesian negative binomial regression model, withμ=∑k=1Kβkxky|λ∼Poisson(λ)λ|μ,r∼Gamma(μr2−1,r2−1)r∼Cauchy(0,1)βk=Pareto(0,1.5).The model was implemented in STAN. A more detailed explanation of the mod […]

BNBR institution(s)
Department of Electrical & Computer Engineering, TEES-AgriLife Center for Bioinformatics & Genomic Systems Engineering, Texas A&M University, College Station, TX, USA; Department of Information, Risk, & Operations Management, The University of Texas at Austin, Austin, TX, USA
BNBR funding source(s)
Supported by Award CCF-1553281 from the National Science Foundation and the USDA NIFA Award 06-505570-01006.

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