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INet for Network Integration

The method is described in detail in the paper:

V. Policastro, M. Magnani, C. Angelini and A. Carissimo(2024). INet for network integration. Computational Statistics. https://link.springer.com/article/10.1007/s00180-024-01536-8

For the installation in R:

           devtools::install_github("ValeriaPolicastro/INet-Tool")

We want to identify general information by building a Consensus Network and then to obtain Case-Specific Networks one for each layer with the information present only in that layer and not in all the others.

Important Functions:

• consensusNet to create the Consensus Network

• specificNet to create the Case Specific Network

• thresholdNet to change the threshold of the consensus from the similar layer after the algorithm

• JWmean to see how distant are the layers at the beginning

Integration Network Algorithm:

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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