Unit Tests for Visualization and Clustering Functions #47

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1. github-actions

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   SCOTRepoNameRepoName

   on Mar 24, 2026
2. bianjh-cloud commented on Mar 24, 2026

   

   bianjh-cloud

   on Mar 24, 2026

   Last edited by bianjh-cloud

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   split_featurePlot

   • returns arranged ggplots in list format (for available genes)
   • computes ncol/nrow when NA
   • runs when provided with nrow = 1
   • errors on invalid inputs (seurat object, unavailable gene(s), slot, metadata columns)
   • returns NULL silently with return_list = FALSE
   • works with scalar numeric cutoff values
   • runs with (isolated cases) label = TRUE, order = TRUE, slot = 'data', single split / numeric metadata variable
   • handles empty feature list
   • runs when cutoffs are asymmetric (e.g. when user inputs 3.5 and q10)
3. bianjh-cloud

   changed the title [-]Unit Tests for split_featurePlot, make_bubble_plot, make_volcano_plot[/-] [+]Unit Tests for split_featurePlot[/+] on Mar 24, 2026
4. bianjh-cloud

   self-assigned this

   on Apr 17, 2026
5. bianjh-cloud

   changed the title [-]Unit Tests for split_featurePlot[/-] [+]Unit Tests for split_featurePlot, make_bubble_plot, make_volcano_plot.R[/+] on Apr 17, 2026
6. bianjh-cloud commented on Apr 17, 2026

   

   bianjh-cloud

   on Apr 17, 2026

   Last edited by bianjh-cloud

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   make_bubble_plot.R

   • - bubble plot is successful for (BRCA)
   • - bubble plot includes all feature and identity combinations
   • - bubble plot supports scaled average expression
   • - bubble plot respects custom ident columns
   • - bubble plot errors on invalid ident
   • - bubble plot errors when requested features are absent
7. bianjh-cloud

   changed the title [-]Unit Tests for split_featurePlot, make_bubble_plot, make_volcano_plot.R[/-] [+]Unit Tests for Visualization Functions[/+] on Apr 17, 2026
8. bianjh-cloud commented on Apr 17, 2026

   

   bianjh-cloud

   on Apr 17, 2026

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   make_volcano_plot.R

   Confirms multiple parameter combinations (significant, logfc, pval) all still return ggplot objects.

   • single-gene input
   • zero p-value input

   Confirms error handling for missing required columns (e.g., missing p_val_adj or missing expected fold-change column).
9. bianjh-cloud

   linked a pull request that will close this issuetest: add Visualization Unit Tests #49on Apr 17, 2026
10. bianjh-cloud commented on Apr 22, 2026

    

    bianjh-cloud

    on Apr 22, 2026

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    seurat_clustering.R and cluster_metrics.R

    • clustering produces expected reductions (PCA with 1-50 dimensions, UMAP with 3 dimensions)
    • cluster assignment and nearest-neighbor graphs
    • resolution and algorithm parameters propagate correctly to FindClusters
    • clear error messages for invalid inputs (invalid npcs, resolution, algorithm values).
11. bianjh-cloud

    changed the title [-]Unit Tests for Visualization Functions[/-] [+]Unit Tests for Visualization and Clustering Functions[/+] on Apr 22, 2026
12. bianjh-cloud

    added a commit that references this issue on Apr 22, 2026

    feat(tests): add fixture file and selectData helper for split_feature…

    ...

    51b1ea0