Package: pmm 1.44.0

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

pmm_1.44.0.tar.gz
pmm_1.44.0.zip(r-4.7)pmm_1.44.0.zip(r-4.6)pmm_1.44.0.zip(r-4.5)
pmm_1.44.0.tgz(r-4.6-any)pmm_1.44.0.tgz(r-4.5-any)
pmm_1.44.0.tar.gz(r-4.7-any)pmm_1.44.0.tar.gz(r-4.6-any)
pmm_1.44.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pmm/json (API)
NEWS

# Install 'pmm' in R:

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

Datasets:

kinome - Example Data from InfectX

On BioConductor:pmm-1.45.0(bioc 3.24)pmm-1.44.0(bioc 3.23)

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

systemsbiology regression

4.15 score 3 scripts 274 downloads 7 mentions 3 exports 14 dependencies

Last updated from:901747f3f4 (on RELEASE_3_23). Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: no.

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windows-devel	NOTE	131
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