drugTargetInteraction: drug target interactions for neural receptors
In xnet: Two-Step Kernel Ridge Regression for Network Predictions

Description Usage Format Details Source References

A dataset for examining the interaction between 54 drugs and 26 neural receptors. It consists of three different matrices.

1	drugTargetInteraction

for drugTargetInteraction: a numeric matrix of 26 rows by 54 columns.
For drugSim: a numeric square matrix with 54 rows/columns.
For targetSim: a numeric square matrix with 26 rows/columns.

The dataset consists of the following objects :

drugTargetInteraction: a matrix indicating whether or not a certain drug compound interacts with a certain neural receptor.
targetSim: a similarity matrix for the neural receptors.
drugSim: a similarity matrix for the drugs

The data originates from Yamanishi et al (2008) but was partly reworked to be suitable for two-step kernel ridge regression. This is explained in detail in the Preparation of the example data vignette.

https://doi.org/10.1093/bioinformatics/btn162

Yamanishi et al, 2008 : Prediction of drug-target interaction networks from the integration of chemical and genomic spaces.

xnet documentation built on Feb. 4, 2020, 9:10 a.m.