©The Author(s) 2025.
World J Gastrointest Oncol. Nov 15, 2025; 17(11): 111670
Published online Nov 15, 2025. doi: 10.4251/wjgo.v17.i11.111670
Published online Nov 15, 2025. doi: 10.4251/wjgo.v17.i11.111670
Figure 5 Correlation analysis and visualization of extracellular vesicle long RNA-index calculated by different algorithms.
A: Correlation analysis of extracellular vesicle long RNA (EvlRNA)-index calculated based on singular value decomposition principal component analysis (PCA) algorithm; B: Correlation analysis of EvlRNA-index calculated based on nonlinear iterative partial least squares PCA algorithm; C: Correlation analysis of EvlRNA-index calculated based on Probabilistic PCA algorithm; D: Correlation analysis of EvlRNA-index calculated based on FastHCS algorithm; E: Visualization of EvlRNA-index calculated by singular value decomposition PCA algorithm; F: Visualization of EvlRNA-index calculated by nonlinear iterative partial least squares PCA algorithm; G: Visualization of EvlRNA-index calculated by Probabilistic PCA algorithm; H: Visualization of EvlRNA-index calculated by FastHCS algorithm. SVD: Singular value decomposition; PCA: Principal component analysis; EvlRNA: Extracellular vesicle long RNA; PDAC: Pancreatic ductal adenocarcinoma; CP: Chronic pancreatitis; FastHCS: High-dimensional congruent subsets; Nipals: Nonlinear iterative partial least squares.
- 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