Package: netboost 2.13.1
netboost: Network Analysis Supported by Boosting
Boosting supported network analysis for high-dimensional omics applications. This package comes bundled with the MC-UPGMA clustering package by Yaniv Loewenstein.
Authors:
netboost_2.13.1.tar.gz
netboost_2.13.1.tgz(r-4.4-x86_64)netboost_2.13.1.tgz(r-4.3-x86_64)
netboost_2.13.1.tar.gz(r-4.5-noble)netboost_2.13.1.tar.gz(r-4.4-noble)
netboost.pdf |netboost.html✨
netboost/json (API)
NEWS
# Install 'netboost' in R: |
install.packages('netboost', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- tcga_aml_meth_rna_chr18 - TCGA RNA and methylation measurement on a subset of chromosome 18 for 80 AML patients.
On BioConductor:netboost-2.13.0(bioc 3.20)netboost-2.12.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 28 days agofrom:09d03ed721
Exports:cut_treesmcupgma_execnb_clustnb_distnb_filternb_mcupgmanb_moduleEigengenesnb_plot_dendronb_summarynb_transfernetboosttree_search
Dependencies:AnnotationDbiaskpassbackportsbase64encBiobaseBiocGenericsBiocManagerBiocStyleBiostringsbitbit64blobbookdownbslibcachemcheckmatecliclustercodetoolscolorspacecpp11crayoncurldata.tableDBIdigestdoParalleldynamicTreeCutevaluatefansifarverfastclusterfastmapfontawesomeforeachforeignFormulafsGenomeInfoDbGenomeInfoDbDataggplot2glueGO.dbgridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetshttrimputeIRangesisobanditeratorsjquerylibjsonliteKEGGRESTknitrlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmemoisemgcvmimemunsellnlmennetopensslpillarpkgconfigplogrpngpreprocessCoreR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppParallelrlangrmarkdownrpartRSQLiterstudioapiS4VectorssassscalesstringistringrsurvivalsystibbletinytexUCSC.utilsutf8vctrsviridisviridisLiteWGCNAwithrxfunXVectoryamlzlibbioc