Nigel Chou

Beyond benchmarking: an expert-guided consensus approach to spatially aware clustering

The paper introduces SACCELERATOR, a framework for spatially aware clustering that improves benchmarking by incorporating expert feedback and consensus analysis across diverse datasets.

Guidestar: a spike-in approach to improve RNA detection accuracy in imaging-based spatial transcriptomics

Guidestar improves RNA detection accuracy in spatial transcriptomics by using spike-in controls to assess and enhance decoding algorithms.

Highly sensitive spatial transcriptomics using FISHnCHIPs of multiple co-expressed genes

FISHnCHIPs enables highly sensitive spatial transcriptomics by imaging multiple co-expressed genes, revealing spatial gene expression patterns in tissues with improved sensitivity and coverage.

BANKSY: A Spatial Omics Algorithm that Unifies Cell Type Clustering and Tissue Domain Segmentation

BANKSY integrates cell type clustering and tissue domain segmentation using spatial transcriptomic data, identifying novel niche-dependent cell states in mouse brain regions.