Nothing
LIONESS, or Linear Interpolation to Obtain Network Estimates for Single Samples, can be used to reconstruct single-sample networks (https://arxiv.org/abs/1505.06440). This code implements the LIONESS equation in the lioness function in R to reconstruct single-sample networks. The default network reconstruction method we use is based on Pearson correlation. However, lionessR can run on any network reconstruction algorithms that returns a complete, weighted adjacency matrix. lionessR works for both unipartite and bipartite networks.
Package details |
|
---|---|
Author | Marieke Lydia Kuijjer [aut] (<https://orcid.org/0000-0001-6280-3130>), Ping-Han Hsieh [cre] (<https://orcid.org/0000-0003-3054-1409>) |
Bioconductor views | GeneExpression Network NetworkInference |
Maintainer | Ping-Han Hsieh <dn070017@gmail.com> |
License | MIT + file LICENSE |
Version | 1.4.0 |
URL | https://github.com/mararie/lionessR |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.