scSurv: A Deep Generative Model for Linking Single Cells to Patient Survival (IMAGE)

Institute of Science Tokyo

scSurv: A Deep Generative Model for Linking Single Cells to Patient Survival

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The scSurv is a method that deconvolutes bulk RNA-seq data into individual single cells using scRNA-seq data and performs survival analysis with an extended Cox proportional hazards model. This framework enables single-cell–level prognostic analysis, identification of outcome-associated genes, and spatial hazard mapping.

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Institute of Science Tokyo

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