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Releases: SGDDNB/ShinyCell

v2.1: support for visualising subsets of cells

06 Jul 09:25
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Minor update to v2.1 to support the visualization of subsets of cells

Updates include:

  • Ability to visualize subsets of cells
    --- Users can now subset cells by any categorical metadata e.g. visualize only certain libraries or clusters
    --- For dimension reduction plots, cells that are not selected will still be displayed as very light grey in the background
    --- For violin/boxplots & proportion plots & bubbleplot/heatmaps, users can also subset cells
    --- Added "Select all" and "Deselect all" buttons for user convenience
    --- Users can also choose to disable this function by specifying this new argumentenableSubset = FALSE in the makeShinyApp or makeShinyCodesMulti function (related to issue #15)
    Toggle to subset cells interface

  • Bugfix and updates to improve user experience
    --- Fix bug where short gene names cannot be searched (related to issue #19)
    --- Add an argument defPtSiz = 1.25 in the makeShinyApp and makeShinyCodesMulti function to specify default point sizes (related to issue #18)
    --- Updates to support the latest version of SCE (related to #11 #12 #17)

v2.0: bioinformatics publication release

21 Apr 09:22
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Major update to v2.0 following publication on Bioinformatics journal

Updates include:

  • Inclusion of cluster/metadata labels in Dimension Reduction plots
  • Inclusion of coexpression plots
  • Inclusion of proportion plots
  • Inclusion of cell number / statistics tables
  • Inclusion of ability to subset cells in Dimension Reduction plots

v1.1: Support for major single-cell data formats

21 Apr 09:32
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Minor update to v1.1

Updates include:

  • Support for h5ad / loom file formats (on top of Seurat and SCE)

v1.0: biorxiv release

21 Apr 09:35
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First release v1.0 following biorxiv preprint

Features include:

  • Plotting cell metadata and gene expression side-by-side on Dimension Reduction plots
  • Violin plot / box plot of cell metadata or gene expression
  • Bubbleplot / heatmap of multiple gene expression