To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Heritage persistent IDentifiers (SWHIDs) must be used instead of copying and pasting the url from the address bar of the browser (as there is no guarantee the current URI scheme will remain the same over time).
Select below a type of object currently browsed in order to display its associated SWHID and permalink.
version bump + fixes for biocheck warnings
Package: phantasus Title: Visual and interactive gene expression analysis Version: 1.3.4 Authors@R: c(person("Daria", "Zenkova", email = "email@example.com", role = "aut"), person("Vladislav", "Kamenev", role = "aut"), person("Rita", "Sablina", role = "ctb"), person("Maxim", "Artyomov", role = "aut"), person("Alexey", "Sergushichev", email = "firstname.lastname@example.org", 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, ImmunoOncology Imports: ggplot2, protolite, Biobase, GEOquery, Rook, htmltools, httpuv, jsonlite, limma, opencpu, assertthat, methods, httr, rhdf5, utils, parallel, stringr, fgsea (>= 1.9.4), svglite, gtable, stats, Matrix, Matrix.utils, pheatmap, scales, ccaPP, grid, grDevices, AnnotationDbi License: MIT + file LICENSE Encoding: UTF-8 LazyData: true RoxygenNote: 6.1.1 Suggests: testthat, BiocStyle, knitr, rmarkdown, data.table VignetteBuilder: knitr NeedsCompilation: no