Package: netZooR
Type: Package
Title: Unified methods for the inference and analysis of gene
        regulatory networks
Version: 1.2.0
Date: 2022-07-07
Authors@R: c(person("Marouen", "Ben Guebila",
			email = "benguebila@hsph.harvard.edu", role = c("aut","cre"), comment = c(ORCID = "0000-0001-5934-966X")),
	     person("Tian", "Wang", 
			email = "tian.wang@bc.edu", role = c("aut"), comment = c(ORCID = "0000-0002-2767-3243")),
	     person("John", "Platig",
			email="john.platig@channing.harvard.edu", role="aut"),
	     person("Marieke", "Kuijjer",
			email = "marieke.kuijjer@ncmm.uio.no", role = "aut", comment = c(ORCID = "0000-0001-6280-3130")),
	     person("Megha", "Padi",
			email = "mpadi@email.arizona.edu", role = "aut", comment = c(ORCID = "0000-0002-3446-4562")),
	     person("Rebekka", "Burkholz",
			email = "rburkholz@hsph.harvard.edu",role = "aut"),
         person("Des", "Weighill",
                        email = "",role = "aut", comment = c(ORCID = "0000-0003-4979-5871")),
		 person("Kate", "Shutta",
                        email = "",role = "ctb", comment = c(ORCID = "0000-0003-0402-3771")))
Maintainer: Marouen Ben Guebila <benguebila@hsph.harvard.edu>
Description: netZooR unifies the implementations of several Network Zoo methods (netzoo, netzoo.github.io) into a single package by creating interfaces between network inference and network analysis methods. Currently, the package has 3 methods for network inference including PANDA and its optimized implementation OTTER (network reconstruction using mutliple lines of biological evidence), LIONESS (single-sample network inference), and EGRET (genotype-specific networks). Network analysis methods include CONDOR (community detection), ALPACA (differential community detection), CRANE (significance estimation of differential modules), MONSTER (estimation of network transition states). In addition, YARN allows to process gene expresssion data for tissue-specific analyses and SAMBAR infers missing mutation data based on pathway information.
Depends: R (>= 4.2.0), igraph, reticulate, pandaR, yarn
biocViews: NetworkInference, Network, GeneRegulation, GeneExpression,
        Transcription, Microarray, GraphAndNetwork
Imports: RCy3, viridisLite, STRINGdb, Biobase, GOstats, AnnotationDbi,
        matrixStats, GO.db, org.Hs.eg.db, Matrix, gplots, nnet,
        data.table, vegan, stats, utils, reshape, reshape2, penalized,
        parallel, doParallel, foreach, ggplot2, ggdendro, grid, MASS,
        assertthat, tidyr, methods, dplyr, graphics
License: GPL-3
Encoding: UTF-8
LazyData: false
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, pkgdown
VignetteEngine: knitr
VignetteBuilder: knitr
RoxygenNote: 7.1.2
BugReports: https://github.com/netZoo/netZooR/issues
URL: https://github.com/netZoo/netZooR, https://netzoo.github.io/
git_url: https://git.bioconductor.org/packages/netZooR
git_branch: RELEASE_3_16
git_last_commit: 65d77ca
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
NeedsCompilation: no
Packaged: 2022-11-01 22:13:33 UTC; biocbuild
Author: Marouen Ben Guebila [aut, cre]
    (<https://orcid.org/0000-0001-5934-966X>),
  Tian Wang [aut] (<https://orcid.org/0000-0002-2767-3243>),
  John Platig [aut],
  Marieke Kuijjer [aut] (<https://orcid.org/0000-0001-6280-3130>),
  Megha Padi [aut] (<https://orcid.org/0000-0002-3446-4562>),
  Rebekka Burkholz [aut],
  Des Weighill [aut] (<https://orcid.org/0000-0003-4979-5871>),
  Kate Shutta [ctb] (<https://orcid.org/0000-0003-0402-3771>)
Built: R 4.2.2; ; 2022-11-11 18:23:19 UTC; unix
