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KaiyanM authored Nov 23, 2023
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1 change: 1 addition & 0 deletions .Rbuildignore
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^docs$
^pkgdown$
^\.github$
^LICENSE\.md$
17 changes: 16 additions & 1 deletion DESCRIPTION
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person("Kaiyan", "Ma", , "[email protected]", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-7355-8924"))
Description: MolPad offers a visualization dashboard tool designed to enhance our understanding of how molecular co-expression works in the context of multi-omics microbiome data. The approach involves using a cluster network to provide an initial overview of relationships across multiple omics, with the added functionality to interactively zoom in on specific areas of interest. To facilitate this analysis, we've developed a focus-plus-context strategy that seamlessly connects to online curated annotations.
License: `use_mit_license()`, `use_gpl3_license()` or friends to pick a license
License: CC0
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Imports:
DT,
dplyr,
ggplot2,
ggraph,
grid,
igraph,
purrr,
randomForest,
rlang,
shiny,
shinydashboard,
stringr,
tibble,
tidyr,
Suggests:
knitr,
rmarkdown,
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43 changes: 43 additions & 0 deletions LICENSE.md
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## creative commons

# CC0 1.0 Universal

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### Statement of Purpose

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5 changes: 3 additions & 2 deletions NAMESPACE
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importFrom(randomForest,randomForest)
importFrom(rlang,enquo)
importFrom(shiny,HTML)
importFrom(shiny,br)
importFrom(shiny,brushOpts)
importFrom(shiny,column)
importFrom(shiny,fluidRow)
importFrom(shiny,h2)
importFrom(shiny,h3)
importFrom(shiny,icon)
importFrom(shiny,observe)
importFrom(shiny,plotOutput)
importFrom(shiny,runApp)
importFrom(shiny,selectInput)
importFrom(shiny,shinyApp)
importFrom(shiny,sliderInput)
importFrom(shiny,tags)
importFrom(shinydashboard,box)
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10 changes: 5 additions & 5 deletions R/gDashboard.R
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#' Please ensure that columns containing external database IDs adhere to the following standards:
#' * KEGG ID: Begin with 'K' followed by 5 digits, for example, K05685 or K06671.
#' * GO ID: Begin with 'GO:' followed by 7 digits, such as GO:0003674."
#'
#'
#' @importFrom shinydashboard dashboardPage dashboardHeader dashboardSidebar sidebarMenu menuItem tabItems tabItem box
#' @importFrom shiny observe runApp fluidRow icon tags HTML column selectInput sliderInput plotOutput brushOpts h2
#' @importFrom shiny observe shinyApp fluidRow icon tags HTML column selectInput sliderInput plotOutput brushOpts h3 br
#' @importFrom DT renderDataTable datatable dataTableOutput
#' @export
gDashboard <- function(data, cluster, annotation, networkres,
dashboardtitle = "MolPad Dashboard",
dashboardtitle = "MolPad Dashboard",
id_colname=NULL, id_type=NULL) {

reshaped_df <- reshape_for_make_functions(data, cluster, annotation,id_colname, id_type)

uni_t <- unique(annotation$taxonomic.scope)
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})
}
)
runApp(app)
do.call(shinyApp, app)
}
3 changes: 2 additions & 1 deletion README.md
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MolPad offers a visualization dashboard tool designed to enhance our understanding of how molecular co-expression works in the context of microbiome data. The approach involves using a cluster network to provide an initial overview of relationships across multiple omics, with the added functionality to interactively zoom in on specific areas of interest. To facilitate this analysis, we've developed a focus-plus-context strategy that connects to online curated annotations.

Additionally, our package simplifies the entire pipeline for creating the dashboard. This user-friendly design makes it accessible even to students with limited R programming experience.
Additionally, our package simplifies the entire pipeline for creating the dashboard. This user-friendly design makes it accessible even to people with limited R programming experience. Check out our cheese-data demo [here](https://connect.doit.wisc.edu/molpad-demo/).

<p align="center">
<img src="/man/figures/screen_recording.gif" width="600" /></a>
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## Contribution
To contribute to this project, you could use the following workflow: fork the repository --> create your local copy --> submit a pull request.


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