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To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
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Citations

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Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
DESCRIPTION
Package: phantasus
Title: Visual and interactive gene expression analysis
Version: 1.1.5
Authors@R: c(person("Daria", "Zenkova", email = "daria.zenkova.cs@gmail.com", role = "aut"),
             person("Vladislav", "Kamenev", role = "aut"),        
             person("Rita", "Sablina", role = "ctb"),        
             person("Maxim", "Artyomov", role = "aut"),
             person("Alexey", "Sergushichev", email = "alsergbox@gmail.com", role = c("aut", "cre")))
Description: 
    Phantasus is a web-application for visual and interactive gene expression analysis.
    Phantasus is based on Morpheus – a web-based software for heatmap visualisation 
    and analysis, which was integrated with an R environment via OpenCPU API.
    Aside from basic visualization and filtering methods, R-based methods such 
    as k-means clustering, principal component analysis or differential expression analysis
    with limma package are supported.
URL: https://genome.ifmo.ru/phantasus,
     https://artyomovlab.wustl.edu/phantasus
BugReports: https://github.com/ctlab/phantasus/issues
Depends: R (>= 3.5)
biocViews: GeneExpression, GUI, Visualization, DataRepresentation, Transcriptomics,
            RNASeq, Microarray, Normalization, Clustering, DifferentialExpression,
            PrincipalComponent
Imports: ggplot2, protolite, Biobase, GEOquery, Rook, htmltools,
        httpuv, jsonlite, limma, opencpu, assertthat, methods, httr, rhdf5,
        utils, parallel, stringr, fgsea, svglite, gtable, stats,
        Matrix, Matrix.utils, pheatmap, scales, ccaPP, grid, grDevices
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: testthat, BiocStyle, knitr, rmarkdown, data.table
VignetteBuilder: knitr
NeedsCompilation: no

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