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A network regularized linear model to infer spatial expression pattern for single cell

2024-11-22

Abstract excerpt

Spatial transcriptomics, situated at the intersection of genomics and spatial biology, offers profound insights into the spatial organization of gene expression within tissues. However, its potential has been constrained by either limited resolution or throughput. While single-cell RNA-seq allows for in-depth profiling of cellular gene expression, the crucial spatial information is often sacrificed during sample c...

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Literature Corpus work
e1ecdbf3-7161-5a0e-bc7d-581f0a5a0cb2
DOI
10.1101/2024.11.20.624541
Open publication

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A network regularized linear model to infer spatial expression pattern for single cellDOI 10.1101/2024.11.20.624541
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