Package: DysPIA 1.4

DysPIA: Dysregulated Pathway Identification Analysis

It is used to identify dysregulated pathways based on a pre-ranked gene pair list. A fast algorithm is used to make the computation really fast. The data in package 'DysPIAData' is needed.

Authors:Limei Wang [aut, cre], Jin Li [aut, ctb]

DysPIA_1.4.tar.gz
DysPIA_1.4.zip(r-4.5)DysPIA_1.4.zip(r-4.4)DysPIA_1.4.zip(r-4.3)
DysPIA_1.4.tgz(r-4.4-x86_64)DysPIA_1.4.tgz(r-4.4-arm64)DysPIA_1.4.tgz(r-4.3-x86_64)DysPIA_1.4.tgz(r-4.3-arm64)
DysPIA_1.4.tar.gz(r-4.5-noble)DysPIA_1.4.tar.gz(r-4.4-noble)
DysPIA_1.4.tgz(r-4.4-emscripten)DysPIA_1.4.tgz(r-4.3-emscripten)
DysPIA.pdf |DysPIA.html
DysPIA/json (API)

# Install 'DysPIA' in R:
install.packages('DysPIA', repos = c('https://lemonwang2020.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/lemonwang2020/dyspia/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

2.70 score 284 downloads 1 mentions 9 exports 14 dependencies

Last updated 4 years agofrom:b15711bbb9. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-win-x86_64OKOct 08 2024
R-4.5-linux-x86_64OKOct 08 2024
R-4.4-win-x86_64OKOct 08 2024
R-4.4-mac-x86_64OKOct 08 2024
R-4.4-mac-aarch64OKOct 08 2024
R-4.3-win-x86_64OKOct 08 2024
R-4.3-mac-x86_64OKOct 08 2024
R-4.3-mac-aarch64OKOct 08 2024

Exports:calcDyspiaStatcalcDyspiaStatCumulativecalcDyspiaStatCumulativeBatchcalEdgeCorScore_ESEADysGPSDysPIADyspiaSigDyspiaSimpleImplsetUpBPPARAM

Dependencies:BHBiocParallelcodetoolscpp11data.tableDysPIADatafastmatchFNNformatRfutile.loggerfutile.optionslambda.rRcppsnow