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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