Package: mosbi
Title: Molecular Signature identification using Biclustering
Version: 1.17.0
Authors@R: c(
  person("Tim Daniel", "Rose", email="tim.rose@wzw.tum.de", 
  role = c("cre", "aut")),
  person("Josch Konstantin", "Pauling", 
  email="josch.pauling@tum.de", role = c("aut")),
  person("Nikolai", "Koehler", 
  email="nikolai.koehler@tum.de", role = c("aut")))
Description: This package is a implementation of biclustering ensemble
        method MoSBi (Molecular signature Identification from
        Biclustering). MoSBi provides standardized interfaces for
        biclustering results and can combine their results with a
        multi-algorithm ensemble approach to compute robust ensemble
        biclusters on molecular omics data. This is done by computing
        similarity networks of biclusters and filtering for overlaps
        using a custom error model. After that, the louvain modularity
        it used to extract bicluster communities from the similarity
        network, which can then be converted to ensemble biclusters.
        Additionally, MoSBi includes several network visualization
        methods to give an intuitive and scalable overview of the
        results. MoSBi comes with several biclustering algorithms, but
        can be easily extended to new biclustering algorithms.
License: AGPL-3 + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.1.1
Depends: R (>= 4.1)
SystemRequirements: C++17, GNU make
LinkingTo: Rcpp, BH, RcppParallel
Imports: Rcpp, BH, xml2, methods, igraph, fabia, RcppParallel, biclust,
        isa2, QUBIC, akmbiclust, RColorBrewer
Suggests: knitr, rmarkdown, BiocGenerics, runibic, BiocStyle, testthat
        (>= 3.0.0)
Collate: 'RcppExports.R' 'bicluster.R' 'bicluster_net_methods.R'
        'ensemble_bicluster.R' 'extract_BicARE.R'
        'extract_akmbiclust.R' 'extract_biclust.R'
        'extract_biclustpy.R' 'extract_fabia.R' 'extract_isa.R'
        'feature_louvain_overlap.R' 'filter_biclusters.R'
        'get_biclusters.R' 'misc.R' 'mosbi-package.R' 'mouse_data.R'
        'pipeline.R' 'run_algorithms.R'
VignetteBuilder: knitr
biocViews: Software, StatisticalMethod, Clustering, Network
Config/testthat/edition: 3
Config/pak/sysreqs: libglpk-dev make libicu-dev libxml2-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 15:13:30 UTC
RemoteUrl: https://github.com/bioc/mosbi
RemoteRef: HEAD
RemoteSha: 9a2abfb95774189dd3f1263ed0690d7da2f0a382
NeedsCompilation: yes
Packaged: 2025-11-02 03:57:52 UTC; root
Author: Tim Daniel Rose [cre, aut],
  Josch Konstantin Pauling [aut],
  Nikolai Koehler [aut]
Maintainer: Tim Daniel Rose <tim.rose@wzw.tum.de>
Built: R 4.6.0; x86_64-w64-mingw32; 2025-11-02 04:01:27 UTC; windows
Archs: x64
