## Additional file 4: Table S2.
List of 82 characteristics analyzed and their values for each image. Values
for the 82 characteristics of the 87 images used for the training step and the 15
other images tested. Av. = Average, s. d. = standard deviation. Characteristics 1
to 24 mimic features that the pathologist evaluates when analyzing a biopsy. The 24
characteristics can be classified into four groups: geometrically related to the size
of fibers (1 to 6), geometrically related to the shape and orientation of fibers (7
to 14), geometrically related to the collagen content (15 and 16), and network characteristics
(17 to 24). The network features capture information about the organization of the
fibers. : The fraction of triangles around a node (equivalent to the fraction of a node’s
neighbors that are neighbors of each other). Clustering coefficient The shortest path length between a node and any other node. Eccentricity:: The fraction of all shortest paths in the network that contain a given node. Nodes
with high values of betweenness centrality participate in a large number of shortest
paths. Betweenness centrality: The distance matrix containing lengths of shortest paths between all pairs of nodes.
Shortest path lengths The minimum eccentricity. Radius: The maximum eccentricity. Diameter: The average inverse shortest path length in a network. Efficiency:: The Pearson correlation reflects the degree of linear relationship between two variables
(nodes and weight of links). Pearson: The second smallest eigenvalue of the Laplacian (Laplacian: degree matrix minus
the adjacency. Adjacency matrix: matrix with rows and columns labeled by graph nodes,
with a 1 or 0 in position (vAlgebraic_connectivity_{i}, v_{j}) according to whether v_{i} and v_{j} are adjacent or not). : The sum of products of degrees across all edges. S_metric: A positive assortativity coefficient indicates that nodes tend to link to other
nodes to the same or a similar degree. Assortativity: The fraction of present connections to possible connections. Connection weights
are ignored in calculations. Density: The ratio of 'triangles to triplets' in the network (an alternative version of the
clustering coefficient). Transitivity A statistic that quantifies the degree to which the network may be subdivided into
such clearly delineated groups.
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