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!

You can install the development version of transPlotR like so:

# install.packages("devtools")
devtools::install_github("junjunlab/ClusterGVis")

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

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

• 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