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Table 1 Summary of the experiments described in the manuscript together with their global settings

From: Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach

Tag

Cohort

Model integration a

Feature sets

Data sources

Classical b

Both

No

-

All c

Topological b

Both

Yes

All

All c

Integrated b

Both

Yes

All

All c

Centrality

Both

No

Centralities (all)

All c

Single centrality

Both

No

Centralities (one)

All c

node2vec

Both

No

node2vec

All c

Diffusion

Both

No

Diffusion

All c

Modularity

Both

No

Modularities

All c

Transcriptomic (microarray)

Both

No

All

Transcriptomic (microarray)

Transcriptomic (RNA-seq)

Both

No

All

Transcriptomic (RNA-seq)

Transcriptomic (both)

Small d

No

All

Transcriptomic (both)

Genomic (aCGH)

Small

No

All

Genomic

Fused

Both

Yes

All

All c

  1. For the parameters that are not mentioned (e.g., dimension reduction strategy, network inference method, classification algorithm), the experiments are repeated for all possible values. aIntegration with weighted voting scheme. bAn equivalent tag for these models on the small cohort is All three sources. cThis means two on the large cohort and three on the small cohort. dOn the large cohort, it is equivalent to the topological model