xueweic/APGD: TGPred: Efficient methods for predicting target genes of a transcription factor by integrating statistics, machine learning, and optimization.

Tools for solving the penalized regression models, such as HuberNet, HuberLasso, Huber Elastic Net, Elastic Net, Lasso, Network regularization, using Accelerated Proximal Gradient Descent (APGD) algorithm.

Getting started

Package details

AuthorXuewei Cao <xueweic@mtu.edu> Ling Zhang <lingzhan@mtu.edu>
MaintainerXuewei Cao <xueweic@mtu.edu>
LicenseWhat license is it under?
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("xueweic/APGD")
xueweic/APGD documentation built on Sept. 4, 2023, 2:18 a.m.