Project
Multi-Sample Clustering for Large Atlas-Scale Spatial Data
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Project Summary
This project will develop a spatially-aware unsupervised clustering algorithm and open-source software in R/Bioconductor scalable for analysis of large atlas-scale spatial transcriptomics data with multiple samples.
Investigators
Co-Principal Investigators
Stephanie Hicks
Shila Ghazanfar