Article

Robust and interpretable prediction of gene markers and cell types from spatial transcriptomics data

2023-05-14

Abstract excerpt

<h4>ABSTRACT</h4> Spatial transcriptomic (ST) imaging and sequencing data enable us to link tissue morphological features with thousands of previously unseen gene expression values, opening a new horizon for understanding tissue biology and achieving breakthroughs in digital pathology. Deep learning models are emerging to predict gene expression or classify cell types using images as the sole input. Such models h...

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Literature Corpus work: c8d349ae-f11e-5be4-9f88-6afb075c987d
DOI: 10.1101/2023.05.14.540710

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