bioRxivBioinformaticsPreprint
NetLCP: An R package for prioritizing combinations of regulatory elements in the heterogeneous network with variant 'switches' detection
Abstract
Numerous independent networks of regulatory elements, including lncRNA, circRNA and pathway, have been developed to crucial roles in computational systems biology. Crosstalks among those networks as a bridge to build and decode heterogeneous networks from multidimensional biological knowledge, aids to highlight regulatory elements. And combinations of regulatory elements (CREs) in the local area of heterogeneous network have been a hot issue due to its crucial role in biological processes. We introduce NetLCP, an R package with command and shiny-based GUI modes, for prioritizing CREs with variant switches detection. Availability and implementationThe NetLCP package and documentations are freely available at https://github.com/mortyran/NetLCP. Supplementary informationSupplementary data are available online
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- LiPLike: Towards gene regulatory network predictions of high-certainty
Rasmus Magnusson, Mika Gustafsson·BioinformaticsPeer-reviewed·Dec 19, 2019
- Informeasure: an R/Bioconductor package to quantify nonlinear dependence between variables in biological networks from an information theory perspective
Chu Pan, Limei Jing, … Xiangxiang Zeng·bioRxiv·Dec 20, 2021
- The Network Zoo: a multilingual package for the inference and analysis of biological networks
Marouen Ben Guebila, Tian Wang, … John F Quackenbush·bioRxiv·May 30, 2022
- Predicting gene regulatory network interactions withhigh certainty using the Linear Profile Likelihood -LiPLike
Rasmus Magnusson·bioRxiv·Mar 24, 2025
- Inferring non-coding RNA regulatory network from transcriptomic data and curated databases
Hongjie Ke, Zhenyao Ye, … Tianzhou Ma·bioRxiv·Apr 10, 2025
- RCX - an R package adapting the Cytoscape Exchange format for biological networks
Florian Auer, Frank Krämer·Bioinformatics AdvancesPeer-reviewed·Jan 1, 2022