A novel kernel-weighted sparse reduced-rank regression framework is proposed to model collective effects of neighboring cell transcriptomics on plaque size for spatial transcriptomics data in Alzheimer disease studies.
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Sparse Reduced-rank Regression Methods for Spatially Misaligned Data with Application to Spatial Transcriptomics
A novel kernel-weighted sparse reduced-rank regression framework is proposed to model collective effects of neighboring cell transcriptomics on plaque size for spatial transcriptomics data in Alzheimer disease studies.