xnet-package: Two-step kernel ridge regression for network analysis
In xnet: Two-Step Kernel Ridge Regression for Network Predictions
Description
Author(s)
See Also
Description
This package implements the two-step kernel ridge regression model, a
supervised network prediction method that can be used for all kinds of network
analyses. Examples are protein-protein interaction, foodwebs, ...
Author(s)
Joris Meys and Michiel Stock
See Also
Send your bug reports to:
https://github.com/CenterForStatistics-UGent/xnet/issues
More background in the paper by Stock et al, 2018:
http://doi.org/10.1093/bib/bby095
xnet documentation built on Feb. 4, 2020, 9:10 a.m.
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Description Author(s) See Also
Description
This package implements the two-step kernel ridge regression model, a supervised network prediction method that can be used for all kinds of network analyses. Examples are protein-protein interaction, foodwebs, ...
Author(s)
Joris Meys and Michiel Stock
See Also
Send your bug reports to:
https://github.com/CenterForStatistics-UGent/xnet/issues
More background in the paper by Stock et al, 2018:
http://doi.org/10.1093/bib/bby095
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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