Package: pmm 1.39.0

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_1.39.0.tar.gz
pmm_1.39.0.zip(r-4.5)pmm_1.39.0.zip(r-4.4)pmm_1.39.0.zip(r-4.3)
pmm_1.39.0.tgz(r-4.4-any)pmm_1.39.0.tgz(r-4.3-any)
pmm_1.39.0.tar.gz(r-4.5-noble)pmm_1.39.0.tar.gz(r-4.4-noble)
pmm_1.39.0.tgz(r-4.4-emscripten)pmm_1.39.0.tgz(r-4.3-emscripten)
pmm.pdf |pmm.html✨
pmm/json (API)
NEWS

# Install 'pmm' in R:

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

Datasets:

kinome - Example Data from InfectX

On BioConductor:pmm-1.39.0(bioc 3.21)pmm-1.38.0(bioc 3.20)

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 175 downloads 7 mentions 3 exports 10 dependencies

Last updated 2 months agofrom:0b45c51de6. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 30 2024
R-4.5-win	NOTE	Nov 30 2024
R-4.5-linux	NOTE	Nov 30 2024
R-4.4-win	NOTE	Nov 30 2024
R-4.4-mac	NOTE	Nov 30 2024
R-4.3-win	NOTE	Nov 30 2024
R-4.3-mac	NOTE	Nov 30 2024