tinyarray: Expression Data Analysis and Visualization

Gene Expression Omnibus(GEO) and The Cancer Genome Atlas(TCGA) are common bioinformatics public databases. We integrate the regular analysis and charts for expression data, to analyze and display the data concisely and intuitively.

Version: 2.3.3
Depends: R (≥ 4.1.0)
Imports: BiocManager, clusterProfiler, dplyr, limma, stringr, tibble, pheatmap, ggplot2, survival, survminer, patchwork
Suggests: testthat, AnnoProbe, GEOquery, Biobase, VennDiagram, FactoMineR, factoextra, knitr, rmarkdown, cowplot, ggpubr, ggplotify, tidyr, labeling, Rtsne, scatterplot3d, Hmisc, ComplexHeatmap, circlize, org.Hs.eg.db, org.Rn.eg.db, org.Mm.eg.db
Published: 2024-04-09
Author: Xiaojie Sun [aut, cre]
Maintainer: Xiaojie Sun <18763899370 at 163.com>
BugReports: https://github.com/xjsun1221/tinyarray/issues
License: MIT + file LICENSE
URL: https://github.com/xjsun1221/tinyarray
NeedsCompilation: no
Materials: README NEWS
In views: Omics
CRAN checks: tinyarray results


Reference manual: tinyarray.pdf


Package source: tinyarray_2.3.3.tar.gz
Windows binaries: r-prerel: tinyarray_2.3.3.zip, r-release: tinyarray_2.3.3.zip, r-oldrel: tinyarray_2.3.3.zip
macOS binaries: r-prerel (arm64): tinyarray_2.3.3.tgz, r-release (arm64): tinyarray_2.3.3.tgz, r-oldrel (arm64): tinyarray_2.3.3.tgz, r-prerel (x86_64): tinyarray_2.3.3.tgz, r-release (x86_64): tinyarray_2.3.3.tgz
Old sources: tinyarray archive


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