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Multi-omics data-based modeling reveals tumorigenesis- and prognosis-associated genes with clinical potential in lung adenocarcinoma

Abstract This study aims to utilize multi-omics high-throughput sequencing data, including ATAC-seq and RNA-seq data from TCGA, GTEx, and GEO databases, to construct predictive and prognostic models for lung adenocarcinoma (LUAD) and identify potential biomarkers. We first obtained LUAD ATAC-seq dat...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: Zhendong Lu, Pengfei Bao, Taiwei Wang, Kairui Hu, Lina Zhang, Ling Yi, Yuanming Pan, Weiying Li, Zhi John Lu, Jinghui Wang, Junzhong Ruan
Hōputu: Artigo
Reo:Inglês
I whakaputaina: BMC 2025-11-01
Rangatū:BMC Cancer
Ngā marau:
Deep learning
ATAC-seq
LUAD
Tumorigenesis prognosis
Early cancer detection
ScRNA-seq
Urunga tuihono:https://doi.org/10.1186/s12885-025-14943-x
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