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baldur  

Bayesian Hierarchical Modeling for Label-Free Proteomics
View on CRAN: Click here


Download and install baldur package within the R console
Install from CRAN:
install.packages("baldur")

Install from Github:
library("remotes")
install_github("cran/baldur")

Install by package version:
library("remotes")
install_version("baldur", "0.0.3")



Attach the package and use:
library("baldur")
Maintained by
Philip Berg
[Scholar Profile | Author Map]
First Published: 2023-05-16
Latest Update: 2023-09-18
Description:
Statistical decision in proteomics data using a hierarchical Bayesian model. There are two regression models for describing the mean-variance trend, a gamma regression or a latent gamma mixture regression. The regression model is then used as an Empirical Bayes estimator for the prior on the variance in a peptide. Further, it assumes that each measurement has an uncertainty (increased variance) associated with it that is also inferred. Finally, it tries to estimate the posterior distribution (by Hamiltonian Monte Carlo) for the differences in means for each peptide in the data. Once the posterior is inferred, it integrates the tails to estimate the probability of error from which a statistical decision can be made. See Berg and Popescu for details ().
How to cite:
Philip Berg (2023). baldur: Bayesian Hierarchical Modeling for Label-Free Proteomics. R package version 0.0.3, https://cran.r-project.org/web/packages/baldur. Accessed 08 Apr. 2025.
Previous versions and publish date:
0.0.1 (2023-05-16 10:40), 0.0.2 (2023-09-02 08:50)
Other packages that cited baldur R package
View baldur citation profile
Other R packages that baldur depends, imports, suggests or enhances
Complete documentation for baldur
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