Skip to contents

Changelog

semla 1.1.6

2023-09-19

Bug fixes

  • Fixed bug in RunLocalG when store_in_metadata = FALSE and no alternative hypothesis is provided.
  • Fixed bug in TileImage when using multiple threads on linux.

Changes

  • Modified behaviour of mode = "heatmap" in PlotFeatureLoadings to make sure that features are ordered by their highest dimensionality reduction value.
  • Updated NNMF vignette with a new data set.
  • Changed deprecated ggplot2 function arguments in AnglePlot and MapFeaturesSummary.
  • Changed example Seurat object to contain basic array coordinates.

Added

  • Option to set launch.browser in FeatureViewer. For instance, users can se launch.browser = getOption("viewer") in FeatureViewer to launch the app in the RStudio viewer window.
  • CreateStaffliObject now accepts basic array coordinates to be stored in meta_data slot. These coordinates are defined on the capture array grid of a 10x Genomics Visium slide and do not match the H&E images.

semla 1.1.5

2023-09-06

Bug fixes

  • Added check for non-finite values when visualizing numeric data in FeatureViewer to avoid crash
  • Fixed bug in FeatureViewer when a slot other than ‘data’ is selected

semla 1.1.4

2023-09-04

Bug fixes

  • Fixed bug in LoadScaleFactors
  • Fixed bug in FeatureViewer when handling data sets with spots located outside the H&E image

Changes

  • Improved function documentation

Added

  • Added support for conversion of Seurat objects with Slide-seq data in UpdateSeuratForSemla
  • Added option to color background and titles in ImagePlot
  • Added support for Visium + IF data in LoadAndMergeMatrices and ReadVisiumData
  • Added renv.lock file for installing semla and its dependencies with renv

Website

  • Updated image alignment vignette
  • Updated Staffli objects article
  • Added cell type deconvolution benchmark article
  • Added Visium + IF data vignette
  • Added example to digital unrolling vignette

semla 1.1.0

2023-08-14

Added

  • Added helper function for Staffli objects:
    • GetScaleFactors to fetch tibble with scale factor related information
  • GetImages to fetch images
  • GetImageInfo to fetch tibble with image related information
  • ReplaceImagePaths to validate and update image paths
  • Added UpdateSeuratForSemla to make Seurat objects with VisiumV1 data compatible with semla
  • Added LoadAnnotationCSV to load annotations exported from Loupe Browser

Changes

  • Improved verbosity
  • Reduced size of example data
  • Updated function documentation
  • Updated function examples
  • Added option to load images from URL instead of local path (LoadImages and ReplaceImagePaths)
  • Added option to use multiple cores for ExportDataForViewer
  • Fixed bug in RadialDistance when no spots are available after removing singletons
  • Fixed bug in MergeSTData when merging two or more objects containing multiple tissue sections
  • Fixed bug in MapMultipleFeatures when NA values are present
  • Updated data loaders for increased compatibility with CytAssist data. Minor bug fixes for edge cases when spots are located outside of the H&E image
  • Fixed bug in LoadAndMergeMatrices when loading data from a data folder output by Space Ranger
  • Changed output of AdjustTissueCoordinates which now returns unadjusted y-axis values

semla 1.0.0

2023-03-24

We are excited to announce the first release of our R package, semla.

The package is designed to process, analyze and visualize Spatially Resolved Transcriptomics (SRT) data.

Key features of this release include:

  • Interactive data visualization and annotation with the FeatureViewer web app
  • Spatially aware analysis methods: RegionNeighbors, RadialDistance, CorSpatialFeatures, RunLocalG, RunLabelAssortativityTest, RunNeighborhoodEnrichmentTest, CutSpatialNetwork
  • Visualization methods: MapFeatures, MapLabels
  • Image processing: MaskImages, RigidTransformImages, RunAlignment
  • Cell type mapping: RunNNLS

We would like to express our gratitude to Javier Morlanes and Marcos Machado who contributed to this release. We appreciate your feedback, suggestions, and bug reports.

We invite users to download and install the development version of the package from our GitHub repo and explore the features and functionality. Please feel free to provide feedback and suggestions for future improvements.

Thank you for your support and we look forward to continuing to enhance and improve this package.

Sincerely,

Ludvig Larsson and Lovisa Franzén