xenaShiny: Interactively Explore UCSC Cancer Omics Datasets

★ ☆ ☆ ☆ ☆ | 6 users

Last accessed Apr 12, 2025
Author Shixiang Wang Medical physicist

About the app

UCSCXenaShiny is an R package for interactively exploring UCSC Xena. It is mainly designed to provide a web app (built on the top of {shiny} framework and {UCSCXenaTools} package) for downloading, analyzing and visualizing datasets from the University of California, Santa Cruz Xena (UCSC Xena) dataset bank. Original citation: Shixiang Wang#, Yi Xiong#, Longfei Zhao#, Kai Gu#, Yin Li, Fei Zhao, Jianfeng Li, Mingjie Wang, Haitao Wang, Ziyu Tao, Tao Wu, Yichao Zheng, Xuejun Li, Xue-Song Liu, UCSCXenaShiny: An R/CRAN Package for Interactive Analysis of UCSC Xena Data, Bioinformatics, 2021;, btab561, https://doi.org/10.1093/bioinformatics/btab561. and Goldman, M.J., Craft, B., Hastie, M. et al. Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol (2020). https://doi.org/10.1038/s41587-020-0546-8

Data Safety

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.

Rate this App

Have you used this app yet? Want to rate it?
You must login to submit votes

App Updates and Comments

No application notes or reviews.

Post response or reviews

Other Similar Apps

survivalModel Effortlessly Perform Survival Analysis in MEPHAS Mizutani
powerapp Explore power calculation in statistic Alanna Weaver
timevis An R package for creating timeline visualizations Dean Attali
SQuAPP Simple Quantitative Analysis of Proteins and PTMs Enes K Ergin
xenaShiny Interactively Explore UCSC Cancer Omics Datasets Shixiang Wang
GNOSIS Empowering Reproducible Cancer Genomics Survival Analysis Aaron Golden

About ShinyAppStore

About the ShinyAppStore platform

ShinyAppStore is the leading platform for showcasing and utilizing a wide range of Shiny applications developed with the shiny R package. We will be expanding access to allow shiny apps built with Python as well. Users can submit and explore applications across various categories, add verified apps to their personal library, and enjoy easy access. The platform features well-designed apps with detailed descriptions and evaluations by users. All applications on ShinyAppStore are user-owned and open source, with the source code readily available for download on our GitHub page.
More "about" details