A Bayesian hierarchical model for signal extraction from protein microarrays

Sophie Bérubé, Tamaki Kobayashi, Amy Wesolowski, Douglas E. Norris, Ingo Ruczinski, William J. Moss, Thomas A. Louis

Open source

DOI
10.1002/sim.9680
Published
2023-03-05
Container
Statistics in Medicine
Publisher
Wiley
Open access
unknown

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BibTeX

@article{allodium:10.1002/sim.9680,
  title = {A Bayesian hierarchical model for signal extraction from protein microarrays},
  author = {Sophie Bérubé and Tamaki Kobayashi and Amy Wesolowski and Douglas E. Norris and Ingo Ruczinski and William J. Moss and Thomas A. Louis},
  year = {2023},
  journal = {Statistics in Medicine},
  doi = {10.1002/sim.9680},
  url = {https://doi.org/10.1002/sim.9680}
}

RIS

TY  - JOUR
TI  - A Bayesian hierarchical model for signal extraction from protein microarrays
AU  - Sophie Bérubé
AU  - Tamaki Kobayashi
AU  - Amy Wesolowski
AU  - Douglas E. Norris
AU  - Ingo Ruczinski
AU  - William J. Moss
AU  - Thomas A. Louis
PY  - 2023
JO  - Statistics in Medicine
DO  - 10.1002/sim.9680
UR  - https://doi.org/10.1002/sim.9680
ER  - 

APA

Bérubé, S., Kobayashi, T., Wesolowski, A., Norris, D. E., Ruczinski, I., Moss, W. J., & Louis, T. A. (2023). A Bayesian hierarchical model for signal extraction from protein microarrays. Statistics in Medicine. https://doi.org/10.1002/sim.9680

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