A multimodal approach integrating NK cell-associated gene signatures and pathomics to predict colon adenocarcinoma prognosis

Abstract Single-cell RNA sequencing (scRNA-seq) was used to analyze the GSE161277 dataset to identify candidate NK cell–associated genes. A prognostic model based on NK cell-associated gene signatures was constructed via LASSO regression. Deep learning using the Clustering-constrained Attention Mult...

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Bibliografische Detailangaben

Hauptverfasser:	Kaiqiang Yang, Qiange Lin, Jia Zhu, Tao Zhu, Guoxiang Fu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2026-04-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Colon adenocarcinoma Single-cell RNA sequencing Natural killer cells Deep learning Pathomics Multimodal prognostic model
Online-Zugang:	https://doi.org/10.1038/s41598-026-49584-y
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