Package: lapmix 1.73.0

Yann Ruffieux

lapmix: Laplace Mixture Model in Microarray Experiments

Laplace mixture modelling of microarray experiments. A hierarchical Bayesian approach is used, and the hyperparameters are estimated using empirical Bayes. The main purpose is to identify differentially expressed genes.

Authors:Yann Ruffieux, contributions from Debjani Bhowmick, Anthony C. Davison, and Darlene R. Goldstein

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lapmix.pdf |lapmix.html✨
lapmix/json (API)

# Install 'lapmix' in R:
install.packages('lapmix', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On BioConductor:lapmix-1.71.0(bioc 3.20)lapmix-1.70.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

microarrayonechanneldifferentialexpression

3.30 score 1 scripts 251 downloads 3 exports 2 dependencies

Last updated 23 days agofrom:44a8b7f2c9. Checks:OK: 1 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winNOTEOct 30 2024
R-4.3-macNOTEOct 30 2024

Exports:lap.volcanoplotlapmix.FitlaptopTable

Dependencies:BiobaseBiocGenerics

lapmix example

Rendered fromlapmix-example.Rnwusingutils::Sweaveon Oct 30 2024.

Last update: 2013-10-18
Started: 2013-10-18