tinyarray: Expression Data Analysis and Visualization

The Gene Expression Omnibus (<https://www.ncbi.nlm.nih.gov/geo/>) and The Cancer Genome Atlas (<https://portal.gdc.cancer.gov/>) are widely used medical public databases. Our platform integrates routine analysis and visualization tools for expression data to provide concise and intuitive data analysis and presentation.

Version: 2.4.2
Depends: R (≥ 4.1.0)
Imports: BiocManager, clusterProfiler, dplyr, limma, stringr, tibble, pheatmap, ggplot2, survival, Hmisc, survminer, patchwork
Suggests: testthat, AnnoProbe, GEOquery, Biobase, VennDiagram, FactoMineR, factoextra, knitr, rmarkdown, cowplot, ggpubr, ggplotify, tidyr, labeling, Rtsne, scatterplot3d, ComplexHeatmap, circlize, org.Rn.eg.db, org.Mm.eg.db, org.Hs.eg.db
Published: 2024-06-13
DOI: 10.32614/CRAN.package.tinyarray
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_2.4.2.tar.gz
Windows binaries: r-devel: tinyarray_2.4.2.zip, r-release: tinyarray_2.4.2.zip, r-oldrel: tinyarray_2.4.2.zip
macOS binaries: r-release (arm64): tinyarray_2.4.2.tgz, r-oldrel (arm64): tinyarray_2.4.2.tgz, r-release (x86_64): tinyarray_2.4.2.tgz, r-oldrel (x86_64): tinyarray_2.4.2.tgz
Old sources: tinyarray archive


Please use the canonical form https://CRAN.R-project.org/package=tinyarray to link to this page.