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Bioconductor - phantasus

phantasus

This is the released version of phantasus; for the devel version, see phantasus.

Visual and interactive gene expression analysis

Bioconductor version: Release (3.21)

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.

Author: Maxim Kleverov [aut], Daria Zenkova [aut], Vladislav Kamenev [aut], Margarita Sablina [ctb], Maxim Artyomov [aut], Alexey Sergushichev [aut, cre]

Maintainer: Alexey Sergushichev <alsergbox at gmail.com>

Citation (from within R, enter citation("phantasus")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("phantasus")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("phantasus")
Details biocViews Clustering, DataRepresentation, DifferentialExpression, GUI, GeneExpression, ImmunoOncology, Microarray, Normalization, PrincipalComponent, RNASeq, Software, Transcriptomics, Visualization Version 1.28.0 In Bioconductor since BioC 3.7 (R-3.5) (7 years) License MIT + file LICENSE Depends R (>= 4.3) Imports ggplot2, protolite, Biobase, GEOquery, Rook, htmltools, httpuv, jsonlite, limma, edgeR, opencpu, assertthat, methods, httr, rhdf5, utils, parallel, stringr, fgsea(>= 1.9.4), svglite, gtable, stats, Matrix, pheatmap, scales, ccaPP, grid, grDevices, AnnotationDbi, DESeq2, data.table, curl, apeglm, tidyr, config (>= 0.3.2), rhdf5client(>= 1.25.1), yaml, fs, phantasusLite, XML System Requirements URL https://alserglab.wustl.edu/phantasus Bug Reports https://github.com/ctlab/phantasus/issues See More Package Archives

Follow Installation instructions to use this package in your R session.


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