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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
Stephanie Hicks
Johns Hopkins Bloomberg School of Public Health
Shila Ghazanfar
Shila Ghazanfar
The University of Sydney

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