Name Mode Size
..
calculate_adjacency.Rd 100644 1 kb
cpp_dist_tom.Rd 100644 1 kb
cpp_filter_base.Rd 100644 0 kb
cpp_filter_end.Rd 100644 0 kb
cpp_filter_step.Rd 100644 0 kb
cpp_tree_search.Rd 100644 0 kb
cut_dendro.Rd 100644 2 kb
cut_trees.Rd 100644 2 kb
dot-onAttach.Rd 100644 1 kb
mcupgma_exec.Rd 100644 1 kb
nb_clust.Rd 100644 2 kb
nb_dist.Rd 100644 1 kb
nb_filter.Rd 100644 2 kb
nb_mcupgma.Rd 100644 2 kb
nb_moduleEigengenes.Rd 100644 7 kb
nb_plot_dendro.Rd 100644 1 kb
nb_summary.Rd 100644 1 kb
nb_transfer.Rd 100644 1 kb
netboost.Rd 100644 4 kb
netboostMCUPGMAPath.Rd 100644 0 kb
netboostPackagePath.Rd 100644 0 kb
netboostTmpCleanup.Rd 100644 1 kb
netboostTmpPath.Rd 100644 0 kb
tcga_aml_meth_rna_chr18.Rd 100644 1 kb
tree_dendro.Rd 100644 1 kb
tree_search.Rd 100644 1 kb
README.md
# Netboost Boosting supported network analysis for high-dimensional omics applications. The corresponding publication has been published in IEEE TCBB: Pascal Schlosser, Jochen Knaus, Maximilian Schmutz, Konstanze Döhner, Christoph Plass, Lars Bullinger, Rainer Claus, Harald Binder, Michael Lübbert and Martin Schumacher, Netboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington's disease, IEEE/ACM Trans Comput Biol Bioinform (2021): 10.1109/TCBB.2020.2983010. This package comes bundled with the MC-UPGMA clustering package by Yaniv Loewenstein. # Requirements This package is only working on MacOS and Linux (no Windows atm). Required for building are C/C++ compilers, GNU make, GZIP, Perl. # Installation ``` if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("netboost", version = "3.12") ``` # Example ```R browseVignettes("netboost") ``` # Contact If you have any issues using the package then please get in touch with Pascal Schlosser (pascal.schlosser at uniklinik-freiburg.de). Bug reports etc are most welcome, we want the package to be easy to use for everyone!