diffuStats: diffuStats: an R package to compute and benchmark diffusion...

Description Author(s) References

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.


b2slab/diffusion documentation built on March 6, 2021, 2:38 a.m.