Package: lapmix 1.71.0

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

lapmix_1.71.0.tar.gz
lapmix_1.69.0.zip(r-4.5)lapmix_1.71.0.zip(r-4.4)lapmix_1.71.0.zip(r-4.3)
lapmix_1.71.0.tgz(r-4.4-any)lapmix_1.71.0.tgz(r-4.3-any)
lapmix_1.71.0.tar.gz(r-4.4-noble)
lapmix_1.71.0.tgz(r-4.4-emscripten)lapmix_1.71.0.tgz(r-4.3-emscripten)
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.

bioconductor-package

3 exports 0.82 score 2 dependencies

Last updated 2 months agofrom:e7294baa19

Exports:lap.volcanoplotlapmix.FitlaptopTable

Dependencies:BiobaseBiocGenerics

lapmix example

Rendered fromlapmix-example.Rnwusingutils::Sweaveon Jul 03 2024.

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