lionessR
Modeling networks for individual samples using LIONESS
Bioconductor version: 3.23 · Package version: 1.26.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("lionessR") Details
| Maintainer | Ping-Han Hsieh <dn070017@gmail.com> |
| Author | Marieke Lydia Kuijjer [aut] (ORCID: <https://orcid.org/0000-0001-6280-3130>), Ping-Han Hsieh [cre] (ORCID: <https://orcid.org/0000-0003-3054-1409>) |
| License | MIT + file LICENSE |
| URL | https://github.com/mararie/lionessR |
| Bug Reports | https://github.com/mararie/lionessR/issues |
| Downloads rank | 320 |
| Source branch | RELEASE_3_23 |
| biocViews | GeneExpression, Network, NetworkInference, Software |