ClusterGVis

For better clusteing and visualizing the time series gene expression data of RNA-SEQ with fuzzy c-means algorithm from e1071 package or Kmeans from ComplexHeatmap package, the function blockwiseModules from WGCNA package outputs also can be accepted and can be used to produce graphs for visualization. Here supply ClusterGVis package to cluster and visualize time-serie gene expression data in a more concise and elegant way with one-step operation. You can also do enrichment analysis for each clusters with using clusterProfiler in enrichCluster function. ClusterGVis allows you to create publication-quality figures.

Thanks for the contributions for clusterProfiler, Mfuzz and ComplexHeatmap!

Installation

You can install the development version of transPlotR like so:

# Note: please update your ComplexHeatmap to the latest version!
# install.packages("devtools")
devtools::install_github("junjunlab/ClusterGVis")

Citation

Jun Zhang (2022). ClusterGVis: One-step to Cluster and Visualize Gene Expression Matrix. https://github.com/junjunlab/ClusterGVis

Figures

Document

• https://github.com/junjunlab/ClusterGVis/wiki/document
• https://github.com/junjunlab/ClusterGVis/wiki/version-0.0.2

Related blogs

• ClusterGVis 对基因表达时间序列聚类和可视化
• ClusterGVis 的问题解答及优化
• ClusterGVis 对指定 cluster 添加注释
• ClusterGVis 继续查缺补漏
• ClusterGVis 添加多个样本注释
• bugs 报告和修复
• ClusterGVis 对接单细胞啦
• 听说你还想添加 KEGG 注释?
• ClusterGVis 对接 monocle2 拟时序热图
• 听说你想画个 monocle3 的拟时序热图?
• ClusterGVis 添加自定义图形注释
• 听说你想插入 GO 和 KEGG 图形注释?