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Xiamen University
- Xiang’an District, Xiamen
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17:55
(UTC -12:00)
Stars
🐝 Awesome R and Python packages offering extended UI or server components for the web framework Shiny
🤹 Shiny tips & tricks for improving your apps and solving common problems
📊 A universal enrichment tool for interpreting omics data
My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.
Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.
A repository for setting up a RNAseq workflow
An R package implementing the UMAP dimensionality reduction method.
IOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology. https://iobr.github.io/IOBR/
Machine learning-based integration model with elegant performance
Make Picrust2 Output Analysis and Visualization Easier
"Graphic Design with ggplot2", a 2-day rstudio::conf(2022) Workshop by Cédric Scherer
{package} The easy way to create raincloud plots
Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.
Interface for the Basic Local Alignment Search Tool (BLAST) - R-Package
A single cell RNA-seq workflow, including highly variable gene analysis, cell type assignment and differential expression analysis.
📊 An R package for interactively exploring UCSC Xena https://xenabrowser.net/datapages/; Book: https://lishensuo.github.io/UCSCXenaShiny_Book; App online: https://shiny.zhoulab.ac.cn/UCSCXenaShiny,…