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Table 6 Description of 189 histomorphometric and 650 proteomic features in Dataset S 2 to be used to identify patients who will and who will not suffer CaP recurrence within 5 years

From: Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases

Morphological # Description
Gland Morphology 100 Area Ratio, distance Ratio, Standard Deviation of Distance, Variance of Distance, Distance Ratio,Perimeter Ratio, Smoothness, Invariant Moment 1–7, Fractal Dimension, Fourier Descriptor 1–10 (Mean, Std. Dev, Median, Min/ Max of each)
Architectural   Description
Voronoi Diagram 12 Polygon area, perimeter, chord length: mean, std. dev., min/max ratio, disorder
Delaunay Triangulation 8 Triangle side length, area: mean, std. dev., min/max ratio, disorder
Minimum Spanning Tree 4 Edge length: mean, std. dev., min/max ratio, disorder
Co-occurring Gland Tensors 39 Entropy, energy: mean, std. dev., range
Gland Subgraphs 26 Eccentricity, Clustering coefficient C, D, and E, largest connected component: mean, std. dev.
Proteomic   Description
Proteins Identified 650 Protein-disulfide isomerase A6, T-complex protein subunit delta, ADP-ribosylation factor 1/3, Protein di-sulfide-isomerase, Ras GTPase-activating-like protein IQGAP2, T-complex protein subunit beta, Ras-related protein Rab-5C, ATP-dependent RNA helicase DX3X/DDX3Y, 40S ribosomal protein S17, Serine/arginine-rich splicing factor 7, Tubulin alpha-1A chain/alpha-3C/D chain/ alpha-3E chain, Laminin subunit alpha-4, Collagen alpha-1 (VIII) chain, Tubulin-tyrosine ligase-like protein 12