Package: PROPS 1.29.0
PROPS: PRObabilistic Pathway Score (PROPS)
This package calculates probabilistic pathway scores using gene expression data. Gene expression values are aggregated into pathway-based scores using Bayesian network representations of biological pathways.
Authors:
PROPS_1.29.0.tar.gz
PROPS_1.29.0.zip(r-4.5)PROPS_1.29.0.zip(r-4.4)
PROPS_1.29.0.tgz(r-4.4-any)
PROPS_1.29.0.tar.gz(r-4.5-noble)PROPS_1.29.0.tar.gz(r-4.4-noble)
PROPS_1.29.0.tgz(r-4.4-emscripten)
PROPS.pdf |PROPS.html✨
PROPS/json (API)
# Install 'PROPS' in R: |
install.packages('PROPS', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- example_data - Example data, 50 samples, 22600 genes.
- example_edges - Example pathway edges. Contains 3 randomly generated pathways.
- example_healthy - Example healthy data, 100 samples, 22600 genes.
- kegg_pathway_edges - KEGG pathway edges
On BioConductor:PROPS-1.29.0(bioc 3.21)PROPS-1.27.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
classificationbayesiangeneexpression
Last updated 25 days agofrom:0490c20159. Checks:OK: 1 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 28 2024 |
R-4.5-win | NOTE | Nov 28 2024 |
R-4.5-linux | NOTE | Nov 28 2024 |
R-4.4-win | NOTE | Nov 28 2024 |
R-4.4-mac | NOTE | Nov 28 2024 |
Exports:props
Dependencies:annotateAnnotationDbiaskpassBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobbnlearncachemclicodetoolscpp11crayoncurlDBIedgeRfastmapformatRfutile.loggerfutile.optionsgenefiltergenericsGenomeInfoDbGenomeInfoDbDatagluehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecyclelimmalocfitmagrittrMatrixMatrixGenericsmatrixStatsmemoisemgcvmimenlmeopensslpkgconfigplogrplyrpngR6Rcppreshape2rlangRSQLiteS4VectorssnowstatmodstringistringrsurvivalsvasysUCSC.utilsvctrsXMLxtableXVectorzlibbioc
Readme and manuals
Help Manual
Help page | Topics |
---|---|
PRObabilistic Pathway Score (PROPS) | PROPS-package PROPS |
Example data, 50 samples, 22600 genes. | example_data |
Example pathway edges. Contains 3 randomly generated pathways. | example_edges |
Example healthy data, 100 samples, 22600 genes. | example_healthy |
KEGG pathway edges | kegg_pathway_edges |
PRObabilistic Pathway Scores (PROPS) | props |