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A novel deep optimal transport framework reveals prostate cancer risk heterogeneity, Alzheimer’s disease risk heterogeneity, and myeloma cells associated with a short-term sham bortezomib response and progressive disease

2025-02-04

Abstract excerpt

<h4>ABSTRACT</h4> Leveraging single-cell gene expression profiles can significantly enhance our understanding of diseases by associating single cells with traits such as disease subtypes, prognosis, and drug response. Although previous efforts have linked single cell clusters and groups with these attributes, they have primarily focused on changes in cell proportions while overlooking transcriptional changes at t...

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Literature Corpus work
361669d1-a5ff-57d1-a11a-626b1651e1a8
DOI
10.1101/2025.02.03.636036
Open publication

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A novel deep optimal transport framework reveals prostate cancer risk heterogeneity, Alzheimer’s disease risk heterogeneity, and myeloma cells associated with a short-term sham bortezomib response and progressive diseaseDOI 10.1101/2025.02.03.636036
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