diffuStats {diffuStats} | R Documentation

## diffuStats: an R package to compute and benchmark diffusion scores

### Description

The `diffuStats` package consists of (i) functions to compute graph kernels, see `kernels`, (ii) the function `diffuse` to compute the diffusion scores and (iii) the function `perf_eval` and its wrapper `perf` to compute performance measures. The user can find two vignettes in `browseVignettes("diffuStats")`: (1) a quick start with concise examples and (2) a detailed explanation of the implemented methods with a practical case study using a yeast protein dataset.

### Author(s)

Sergio Picart-Armada <sergi.picart@upc.edu>, Alexandre Perera-Lluna

### References

General references:

Most of the graph kernels can be found in: Smola, A. J., & Kondor, R. (2003, August). Kernels and regularization on graphs. In COLT (Vol. 2777, pp. 144-158).

The statistical normalisation of the diffusion scores, which has interest per se, has been introduced in: Bersanelli, M., Mosca, E., Remondini, D., Castellani, G., & Milanesi, L. (2016). Network diffusion-based analysis of high-throughput data for the detection of differentially enriched modules. Scientific reports, 6.

[Package diffuStats version 1.6.0 Index]