Published July 26, 2022
| Version 0.1.0
Dataset
Open
SpatialSort: Supporting Datasets
Authors/Creators
- 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.