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Table 2 List of the possible data configurations (topological feature sets, datasets) used to train classification models

From: A deep neural network approach to predicting clinical outcomes of neuroblastoma patients

Datasets

Topological features

Total size

Fischer-M

Centralities

12

 

Modularities

{30, 39}a

 

Both

{42, 51} a

Fischer-R

Centralities

12

 

Modularities

{36, 47}a

 

Both

{48, 59} a

Fischerb

Centralities

24

 

Modularities

{75, 77}a

 

Both

{99, 101}a

  1. aThe number of modules for each graph, corresponding to one clinical outcomes of interest, is different
  2. bThis is the combined dataset in which the topological features of both ‘Fischer-M’ and ‘Fischer-R’ are concatenated