Drug Repurposing in Cancer via a Subpathway Crosstalk Network
c(person(given = "Junwei", family = "Han", email = "hanjunwei1981@163.com", role  = c("aut", "cre", "cph")),
person(given = "Jiashuo", family = "Wu", role  = "aut"))
A systematic biology tool was developed to repurpose drugs via a subpathway crosstalk network. The operation modes include 1) evaluating the eigenvector centrality (centrality score) of subpathways and identifying dysregulated subpathways in the subpathway-subpathway network, 2) evaluating the activity of subpathways by GSEA and weighting them with corresponding centrality score, 3) identifying optimal drugs for specific disease through constructing disease-drug reverse association based on the weighted activity of subpathways. There are also several functions used to visualize the results.
ChemmineR, GSVA, clusterProfiler, graphics, igraph, pheatmap,
rvest, xml2, stats
Junwei Han [aut, cre, cph],
Jiashuo Wu [aut]

A systematic biology tool was developed to repurpose drugs via a subpathway crosstalk network. The operation modes include 1) calculating centrality scores of SPs in the context of gene expression data to reflect the influence of SP crosstalk, 2) evaluating drug-disease reverse association based on disease- and drug-induced SPs weighted by the SP crosstalk, 3) identifying cancer candidate drugs through perturbation analysis. There are also several functions used to visualize the results.

Dynamical Systems Approach to Infectious Disease Epidemiology
A collection of Shiny apps that allow for the simulation and
exploration of various infectious disease transmission dynamics scenarios.
The purpose of the package is to help individuals learn
about infectious disease epidemiology from a dynamical systems perspective.
All apps include explanations of the underlying models and instructions on
what to do with the models.
c(
person("Andreas", "Handel", email = "ahandel@uga.edu",
role = c("aut", "cre")),
person("Sina", "Solaimanpour",  role = "ctb") )
deSolve (>= 1.13), knitr (>= 1.15), adaptivetau (>= 2.2),
utils
Andreas Handel [aut, cre],
Sina Solaimanpour [ctb]