person("Thomas", "Valente", email="tvalente@usc.edu", role=c("aut", "cph"),
person("Timothy", "Hayes", email="timothybhayes@gmail.com", role=c("ctb"), comment="Package's first version")
Thomas Valente [aut, cph] (<https://orcid.org/0000-0002-8824-5816>, R
Timothy Hayes [ctb] (Package's first version)

Suggests: covr, testthat, knitr, rmarkdown, ape, RSiena, survival

Title: Network Generator for Combinatorial Graph Problems
Description: Methods for the generation of a wide range of network geographies, e.g., grid networks or clustered networks. Useful for the generation of benchmarking instances for the investigation of, e.g., Vehicle-Routing-Problems or Travelling Salesperson Problems.
Imports: ggplot2, lpSolve, checkmate (>= 1.5.1)

Depends: BBmisc (>= 1.6), mvtnorm (>= 1.0-2), lhs (>= 0.10), checkmate
Imports: ggplot2, lpSolve, igraph (>= 0.7.1), stringr (>= 0.6.2)

Description: Methods for the generation of a wide range of network geographies,
e.g., grid networks or clustered networks. Useful for the generation of
benchmarking instances for the investigation of, e.g., Vehicle-Routing-Problems

Imports: ggplot2, igraph (>= 0.7.1), stringr (>= 0.6.2)

Description: Functions for carrying out Network-based Gene Set Analysis by
incorporating external information about interactions among genes, as well
Depends: cvTools, corpcor, glasso, glmnet, igraph

Description: The netgsa-package contains functions for carrying out Network-based Gene Set Analysis by incorporating external information about interactions among genes, as well as novel interactions learned from data.

Description: Carry out Network-based Gene Set Analysis by incorporating external information about interactions among genes, as well as novel interactions learned from data.
Depends: corpcor, Matrix, glasso, glmnet, igraph

Author: Jing Ma, Ali Shojaie and Kun Yue
Imports: graph, graphite, corpcor, dplyr, glmnet, glassoFast, igraph,
Matrix, msigdbr, quadprog, rlang, magrittr

person("Michael", "Hellstern", email = "mikeh1@uw.edu", role = c("aut","cre")),
person("Ali", "Shojaie", email = "ashojaie@uw.edu", role = c("aut")),
Description: Carry out network-based gene set analysis by incorporating external information about interactions among genes, as well as novel interactions learned from data. Implements methods described in Shojaie A, Michailidis G (2010) <doi:10.1093/biomet/asq038>, Shojaie A, Michailidis G (2009) <doi:10.1089/cmb.2008.0081>, and Ma J, Shojaie A, Michailidis G (2016) <doi:10.1093/bioinformatics/btw410>.
Imports: AnnotationDbi, corpcor, data.table, dplyr, genefilter, graph,
graphite, glmnet, glassoFast, httr, igraph, jsonlite, magrittr,
Matrix, msigdbr, ndexr, org.Hs.eg.db, quadprog, RCy3, reshape2,