MollahLab/gen3DNet: An R Package for Generating 3D Network Models

Generates 3D network from two correlated objects with shared common factors. Specifically, 'gen3DNet' builds the relationships between samples and shared factors using the non-negative matrix factorization, where three clustering techniques are evaluated to determine the number of functional modules. In addition, it builds the relationships between samples from the two distinct data objects based on a partial least squares regression model.

Getting started

Package details

AuthorPaul Morrison, Tina Tang, Charles Lu, Shamim Mollah
MaintainerShamim Mollah <samollah1@gmail.com>
Licensefile LICENSE
Version1.0.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("MollahLab/gen3DNet")
MollahLab/gen3DNet documentation built on Nov. 18, 2024, 5:08 a.m.