Package: pmm 1.37.0

Anna Drewek

pmm: Parallel Mixed Model

The Parallel Mixed Model (PMM) approach is suitable for hit selection and cross-comparison of RNAi screens generated in experiments that are performed in parallel under several conditions. For example, we could think of the measurements or readouts from cells under RNAi knock-down, which are infected with several pathogens or which are grown from different cell lines.

Authors:Anna Drewek

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pmm.pdf |pmm.html
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NEWS

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

Peer review:

Datasets:
  • kinome - Example Data from InfectX

On BioConductor:pmm-1.37.0(bioc 3.20)pmm-1.36.0(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 10 dependencies 7 mentions

Last updated 2 months agofrom:0d59076414

Exports:hitheatmappmmsharedness

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrRcppRcppEigen

User manual for R-Package PMM

Rendered frompmm-package.Rnwusingutils::Sweaveon Jun 30 2024.

Last update: 2015-03-31
Started: 2015-03-31