Early cancer diagnosis via interpretable two-layer machine learning of plasma extracellular vesicle long RNA

doi:10.4251/wjgo.v17.i11.111670

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World Journal of Gastrointestinal Oncology

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1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastrointest Oncol. Nov 15, 2025; 17(11): 111670
Published online Nov 15, 2025. doi: 10.4251/wjgo.v17.i11.111670

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Figure 10 Functional analysis. A: Gene Ontology analysis; B: Protein-protein interaction analysis (protein-protein interaction enrichment P value: < 1.0e-16), network nodes represent proteins, edges represent protein-protein associations; C: Pathway analysis. GO: Gene Ontology; miRNA: MicroRNA; lncRNA: Long non-coding RNA; Cam-PDE: Calmodulin-dependent phosphodiesterase; PKA: Protein kinase A; CREB1: CAMP response element-binding protein 1; AMPK: AMP-activated protein kinase; NMDARs: N-methyl-D-aspartate receptors; DAG: Diacylglycerol; IP3: Inositol 1,4,5-trisphosphate; eIFs: Eukaryotic initiation factors; PLC: Phospholipase C.

Citation: Liu SC, Zhang H. Early cancer diagnosis via interpretable two-layer machine learning of plasma extracellular vesicle long RNA. World J Gastrointest Oncol 2025; 17(11): 111670
URL: https://www.wjgnet.com/1948-5204/full/v17/i11/111670.htm
DOI: https://dx.doi.org/10.4251/wjgo.v17.i11.111670

Liu SC, Zhang H. Early cancer diagnosis via interpretable two-layer machine learning of plasma extracellular vesicle long RNA. World J Gastrointest Oncol 2025; 17(11): 111670 [PMID: 41281480 DOI: 10.4251/wjgo.v17.i11.111670]

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