Published July 26, 2022 | Version 0.1.0
Dataset Open

SpatialSort: Supporting Datasets

  • 1. Department of Molecular Oncology, BC Cancer Agency, Vancouver, BC, Canada; Graduate Bioinformatics Training Program, University of British Columbia, Vancouver, BC, Canada
  • 2. Department of Statistics, University of British Columbia, Vancouver, British Columbia, Canada
  • 3. Terry Fox Laboratory, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada
  • 4. CRUK, University of Cambridge
  • 5. Translational Medicine Hematology, Bristol Myers Squibb, Summit NJ, USA
  • 6. Terry Fox Laboratory, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
  • 7. Department of Molecular Oncology, BC Cancer Agency, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada; Department of Computer Science, University of British Columbia, Vancouver, British Columbia, Canada

Description

All data introduced in the publication "SpatialSort: A Bayesian Model for Clustering and Cell Population Annotation of Spatial Proteomics Data" are deposited here. Forward simulated datasets, spatial Gaussian mixture datasets, semi-real datasets, and MIBI datasets are included. Code to run SpatialSort can be found at https://github.com/Roth-Lab/SpatialSort.

Files

lee_et_al_spatialsort_supplementary_data.zip

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