Package: GOpro 1.31.0

Lidia Chrabaszcz

GOpro: Find the most characteristic gene ontology terms for groups of human genes

Find the most characteristic gene ontology terms for groups of human genes. This package was created as a part of the thesis which was developed under the auspices of MI^2 Group (http://mi2.mini.pw.edu.pl/, https://github.com/geneticsMiNIng).

Authors:Lidia Chrabaszcz

GOpro_1.31.0.tar.gz
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GOpro.pdf |GOpro.html
GOpro/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/mi2-warsaw/gopro/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • exrtcga - Expressions of human genes.

On BioConductor:GOpro-1.31.0(bioc 3.20)GOpro-1.30.0(bioc 3.19)

bioconductor-package

1 exports 0.82 score 87 dependencies

Last updated 2 months agofrom:81a7080979

Exports:findGO

Dependencies:abindAnnotationDbiaskpassBHBiobaseBiocBaseUtilsBiocGenericsBiostringsbitbit64blobcachemclicodetoolscolorspacecpp11crayoncurlDBIDelayedArraydendextenddoParalleldplyrfansifarverfastmapforeachgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2glueGO.dbgridExtragtablehttrIRangesisobanditeratorsjsonliteKEGGRESTlabelinglatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeMultiAssayExperimentmunsellnlmeopensslorg.Hs.eg.dbpillarpkgconfigplogrpngpurrrR6RColorBrewerRcpprlangRSQLiteS4ArraysS4VectorsscalesSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisviridisLitewithrXVectorzlibbioc

GOpro: Determine groups of genes and find their most characteristic GO term

Rendered fromGOpro_vignette.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2018-08-30
Started: 2016-10-07