| eb4c7be6 | Package: pcaExplorer Type: Package |
| 1b71f1e0 | Title: Interactive Visualization of RNA-seq Data Using a Principal Components Approach |
| 996dcd7f | Version: 3.3.0 |
| 11c744f3 | Date: 2024-12-19 |
| f3c28ab6 | Authors@R: c(person("Federico", "Marini", role = c("aut", "cre"),
|
| 9a37b340 | email ="[email protected]", comment = c(ORCID = '0000-0003-3252-7758'))) Description: This package provides functionality for interactive visualization of RNA-seq datasets based on Principal Components Analysis. The methods provided allow for quick information extraction and effective data exploration. A Shiny application encapsulates the whole analysis. |
| eb4c7be6 | License: MIT + file LICENSE |
| 9a37b340 | Imports:
DESeq2,
SummarizedExperiment,
|
| 44a2a948 | mosdef (>= 1.1.0), |
| 9a37b340 | GenomicRanges,
IRanges,
S4Vectors,
genefilter,
ggplot2 (>= 2.0.0),
|
| 91d4ced5 | heatmaply,
plotly,
|
| 9a37b340 | scales,
NMF,
plyr,
topGO,
limma,
GOstats,
GO.db,
AnnotationDbi,
shiny (>= 0.12.0),
shinydashboard,
shinyBS,
ggrepel,
DT,
shinyAce,
threejs,
biomaRt,
pheatmap,
knitr,
rmarkdown,
base64enc,
tidyr,
grDevices,
methods
Suggests:
testthat,
BiocStyle,
|
| b7ab3151 | markdown, |
| 9a37b340 | airway,
org.Hs.eg.db,
htmltools
|
| 80c3187b | URL: https://github.com/federicomarini/pcaExplorer, |
| 9a37b340 | https://federicomarini.github.io/pcaExplorer/ |
| eb4c7be6 | BugReports: https://github.com/federicomarini/pcaExplorer/issues |
| 9208b686 | biocViews: ImmunoOncology, Visualization, RNASeq, DimensionReduction, |
| 42895948 | PrincipalComponent, QualityControl, GUI, ReportWriting, ShinyApps |
| eb4c7be6 | VignetteBuilder: knitr |
| cf375862 | RoxygenNote: 7.3.2 |
| f05aeae7 | Encoding: UTF-8 |
| eb4c7be6 | NeedsCompilation: no |
| ee53c09a | Roxygen: list(markdown = TRUE) |