tinyarray: Expression Data Analysis and Visualization

A toolkit for microarray and RNA-seq data analysis, including annotation conversion, differential expression, enrichment, survival analysis, and visualization.

Version: 3.0.0
Depends: R (≥ 4.3.0)
Imports: Hmisc, dplyr, ggplot2, limma, patchwork, pheatmap, stringr, curl, httr2, survival, survminer, tibble
Suggests: testthat, AnnoProbe, GEOquery, Biobase, VennDiagram, FactoMineR, factoextra, knitr, rmarkdown, cowplot, ggpubr, ggplotify, tidyr, labeling, Rtsne, scatterplot3d, ComplexHeatmap, circlize, AnnotationDbi, BiocManager, clusterProfiler, org.Rn.eg.db, org.Mm.eg.db, org.Hs.eg.db
Published: 2026-08-02
DOI: 10.32614/CRAN.package.tinyarray
Author: Xiaojie Sun [aut, cre]
Maintainer: Xiaojie Sun <18763899370 at 163.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
In views: Omics
CRAN checks: tinyarray results

Documentation:

Reference manual: tinyarray.html , tinyarray.pdf

Downloads:

Package source: tinyarray_3.0.0.tar.gz
Windows binaries: r-devel: tinyarray_2.4.3.zip, r-release: tinyarray_2.4.3.zip, r-oldrel: tinyarray_2.4.3.zip
macOS binaries: r-release (arm64): tinyarray_3.0.0.tgz, r-oldrel (arm64): tinyarray_3.0.0.tgz, r-release (x86_64): tinyarray_2.4.3.tgz, r-oldrel (x86_64): tinyarray_3.0.0.tgz
Old sources: tinyarray archive

Linking:

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