Article

scSurv: a deep generative model for single-cell survival analysis

2024-12-15

Abstract excerpt

<h4>ABSTRACT</h4> Single-cell omics analysis has unveiled the heterogeneity of various cell types within tumors. However, no methodology currently reveals how this heterogeneity influences cancer patient survival at single-cell resolution. Here, we introduce scSurv, combining a Cox proportional hazards model with a deep generative model of single-cell transcriptome, to estimate individual cellular contributions t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c09f2746-ede7-53eb-a5c3-ac97bdaff01a
DOI: 10.1101/2024.12.10.627659

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

scSurv: a deep generative model for single-cell survival analysisDOI 10.1101/2024.12.10.627659Read

scTREND: An annotation-free single-cell time-resolved and condition-dependent hazard modelSemantic proximity Read

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic dataSemantic proximity Read

Deep generative modeling of sample-level heterogeneity in single-cell genomicsSemantic proximity Read

multiHIVE: Hierarchical Multimodal Deep Generative Modeling for Single-cell MultiomicsSemantic proximity Read

A Cross-Species Generative Cell Atlas Across 1.5 Billion Years of Evolution: The TranscriptFormer Single-cell ModelSemantic proximity Read

Deep generative model embedding of single-cell RNA-Seq profiles on hyperspheres and hyperbolic spacesSemantic proximity Read

scVIP: personalized modeling of single-cell transcriptomes for developmental and disease phenotypesSemantic proximity Read

Evaluation of Generative AI Models for Processing Single-Cell RNA-Sequencing Data in Human Pancreatic TissueSemantic proximity Read

CellDiffusion: a generative model to annotate single-cell and spatial RNA-seq using bulk referencesSemantic proximity Read

scSemiProfiler: Advancing Large-scale Single-cell Studies through Semi-profiling with Deep Generative Models and Active LearningSemantic proximity Read

multiHIVE: Hierarchical Multimodal Deep Generative Model for Single-cell Multiomics IntegrationSemantic proximity Read

SIMVI reveals intrinsic and spatial-induced states in spatial omics dataSemantic proximity Read