Article

SIDISH Identifies High-Risk Disease-Associated Cells and Biomarkers by Integrating Single-Cell Depth and Bulk Breadth

2025-03-11

Abstract excerpt

<title>Abstract</title> <p>Single-cell RNA sequencing (scRNA-seq) offers unparalleled resolution for studying cellular heterogeneity but is costly, restricting its use to small cohorts that often lack comprehensive clinical data, limiting translational relevance. In contrast, bulk RNA sequencing is scalable and cost-effective but obscures critical single-cell insights. We introduce SIDISH, a neural network framew...

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Literature Corpus work: ab789f5e-b44b-5295-a605-36d80787746d
DOI: 10.21203/rs.3.rs-5921999/v1

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