Author: Fouad Yousif, Xihui Lin, Fan Fan, Christopher Lalansingh, John Macdonald
Maintainer: Paul C. Boutros <pboutros@mednet.ucla.edu>

Author: Ki-Yeol Kim and Gwan-Su Yi, Cbio lab., Information and Communications University
Description: This function estimates missing values sequentially from the gene that had least missing rate in microarray data
Packaged: Wed Feb  8 12:58:26 2006; hornik

Author: Ki-Yeol Kim and Gwan-Su Yi, CSBio lab., Information and
Description: This function estimates missing values sequentially from
the gene that had least missing rate in microarray data
Packaged: Thu May 8 22:13:46 2008; fanteo

Title: Network Module-Based Model in the Differential Expression
Author: Mingli Lei, Jia Xu, Li-Ching Huang, Lily Wang, Jing Li
Description: A network module-based generalized linear model for differential expression analysis with the count-based sequence data from RNA-Seq.
Packaged: 2016-06-27 03:06:53 UTC; Mingli Lei

Title: Generate RNA-Seq Data from Gene-Gene Association Networks
Authors@R: c(person("Tyler", "Grimes", role = c("aut", "cre"),
person("Somnath", "Datta", role = c("aut")))
Description: Methods to generate random gene-gene association networks and simulate RNA-seq data from them. Includes functions to generate random networks of any size and perturb them to obtain differential networks. Network objects are built from individual, overlapping modules that represent pathways. The resulting network has various topological properties that are characteristic of gene regulatory networks. RNA-seq data can be generated such that the association among gene expression profiles reflect the underlying network. A reference RNA-seq dataset can be provided to model realistic marginal distributions. Plotting functions are available to visualize a network, compare two networks, and compare the expression of two genes across multiple networks.
Imports: fitdistrplus, ggplot2, grDevices, graphics, igraph, mvtnorm,
purrr, RColorBrewer, tibble, Rcpp, rlang, stats, utils

purrr, RColorBrewer, tibble, Rcpp, rlang, stats, utils, methods