ClustAssess
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Core-Bioinformatics
Tools for assessing clustering robustness
Hi, While using ClustAssess on PBMC 3k dataset (https://www.10xgenomics.com/datasets/pbmc-from-a-healthy-donor-no-cell-sorting-3-k-1-standard-2-0-0), I noticed that genes with 0 expression are still plotted on UMAP in Comparison tab of ClustAssess ShinyApp. Is this desired...
Hi, This is a nice package and the documentation is helpful. There is one issue I am having. I am running the following command `consensus_cluster(data, k_max=15, n_reps=100, p_sample =0.8, p_feature=0.8).`...
excuse me, when first using this tools , i get a question: ```` cc_res = consensus_cluster(your_data, n_reps=50, k_max=20, p_sample=0.8, p_feature=0.8) ```` here, what type is the "your_data"? could it be...
I am opening this issue as a notification because `ClustAssess` is listed [here](https://cran.r-project.org/web/packages/Seurat/index.html) as a package that relies (depends/imports/suggests) on Seurat. As you may know, we recently released Seurat v5...
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Tools for assessing clustering robustness