R/ui.R
In snaketron/BcellNet: B-Cell-Network Visualization Tool Package
Defines functions
loadSource
usePackage
files <- NULL
# setwd("R") is done by shiny since the server file is in here
loadSource <- function(sourceName) {
pattern <- paste("^", sourceName, "$", sep = "")
files <<- list.files(pattern=pattern, recursive = TRUE)
for (file in files) {
source(file)
}
}
loadSource("DistanceMetric.R")
loadSource("PlotBCR.R")
usePackage <- function(p) {
if (!is.element(p, installed.packages()[,1]))
install.packages(p, dependencies = TRUE, repos="http://cran.us.r-project.org")
require(p, character.only = TRUE)
}
usePackage("shiny")
usePackage("shinyjs")
usePackage("shinyBS")
usePackage("markdown")
#UI
#' @importFrom shinyjs disabled
fluidPage(
# activate shinyjs which enables easy commands without JS knowledge
shinyjs::useShinyjs(),
theme = "bcell.css",
# p(style = "font-family:Times New Roman","See other apps in the"),
# a("Shiny Showcase",href = "http://www.rstudio.com/products/shiny/shiny-user-showcase/"),
#html code with tags, you can also write h1("test")
# tags$br(), line break
# here we write *Input() & *Output() functions
#Create *input functions
#comboBoxes
navbarPage("BCellNet",
tabPanel("Plot",
fluidRow(
column(1,
tags$img(height=70, width=70, src="logo.png", style="margin-top: 20px; ")
),
column(11,
tags$h1("Find differences in clonal selection", style = "color:#469CF1; font-family:Forte;"),
tags$em("between healthy and HCV-infected individuals", style = "color:#428BCA;")
)
),
sidebarLayout(
sidebarPanel (
#select File
fileInput('csvFile', 'Choose CSV File',
accept=c('text/csv',
'text/comma-separated-values,text/plain',
'.csv')),
#ende fileInput
#checkBOx
#checkboxInput(inputId = "checkbox1", label = " select input File", value = FALSE),
# selectInput(inputId = "combo1",label = "",
# list(`A` = c("Select B-cell subset", "a", "b"),`AB` = c("WA", "OR", "CA")),
# selected = NULL, multiple = FALSE, selectize = TRUE),
#first patient
disabled(selectInput(inputId = "comboFirstPatient",label = "Select 1st patient",
choices = NULL, selected = NULL, multiple = FALSE, selectize = TRUE)),
#second patient
disabled(selectInput(inputId = "comboSecondPatient", label = "Select 2nd patient",
choices = NULL, selected = NULL, multiple = FALSE, selectize = TRUE)),
disabled(selectInput(inputId = "vjSegmentFirst",label = "Select VJ-Segment for 1st patient",
choices = "whole data",selected = "whole data", multiple = FALSE, selectize = TRUE)),
disabled(selectInput(inputId = "vjSegmentSecond",label = "Select VJ-Segment for 2nd patient",
choices = "whole data",selected = "whole data", multiple = FALSE, selectize = TRUE)),
checkboxInput("linkVJSegments", "Link VJ-Segments", TRUE),
selectInput(inputId = "partOfSequence",label = "Select Part of Sequence",
choices = c("whole sequence", "CDR3", "V sequence"),
selected = "whole sequence", multiple = FALSE, selectize = TRUE),
selectInput(inputId = "distance_metric_name",label = "Select distance metric",
choices = row.names(all_distance_metrics()[1]),
multiple = FALSE),
disabled(numericInput( inputId = "distance_metric_parameter",label = "Parameter",value = 1,min = 0, step = 0.1)),
tags$hr(),
#numericInput
div(style="display:inline-block;vertical-align:top; width: 200px;",numericInput( inputId = "relative_edge_weight_filter",label = "Similarity in %",value =95,min = 0,max = 100, step = 0.01)),
div(style="display:inline-block;vertical-align:top; width: 200px;",numericInput(inputId = "absolute_edge_weight_filter", label = "Absolute distance (100):", 5), min = 0, max = 100),
tags$br(),
# HELP POPUP community
tags$span("Community Selection",'style'="font-family: Helvetica Neue,Helvetica,Arial,sans-serif;font-size: 14px;margin-bottom:5px; font-weight: 700;",
popify(bsButton("q1", label = "", icon = icon("question"),
style="info", size = "extra-small"),'Help for Cluster ',
content = paste0("More details for community structures:<br> ", a("Fast Greedy", href = "http://igraph.org/r/doc/cluster_fast_greedy.html", target="_blank"),", ",
a("Label Prop", href = "http://igraph.org/r/doc/cluster_label_prop.html", target="_blank"),", ",
a("Leading Eigen", href = "http://igraph.org/r/doc/cluster_leading_eigen.html", target="_blank"),", ",
a("Louvain", href = "http://igraph.org/r/doc/cluster_louvain.html",target="_blank"),", ",
a("Optimal", href = "http://igraph.org/r/doc/cluster_optimal.html",target="_blank"),", ",
a("Walktrap",href = "http://igraph.org/r/doc/cluster_walktrap.html",target="_blank")), trigger = "focus" ) ),
# comboBox
selectInput(inputId = "select_community",label = NULL,
choices = names(all_communtiy_algorithms()),
selected = NULL, multiple = FALSE, selectize = TRUE),
# HELP POPUP Layer
tags$span("Layout Generator",'style'="font-family: Helvetica Neue,Helvetica,Arial,sans-serif;font-size: 14px;margin-bottom:5px; font-weight: 700;",
popify(bsButton("q2", label = "", icon = icon("question"),
style="info", size = "extra-small"),'Help for Layout ',
content = paste0("More details for community structures:<br> ", a("Star", href = "http://igraph.org/r/doc/layout_as_star.html", target="_blank"),", ",
a("Circle", href = "http://igraph.org/r/doc/layout_in_circle.html", target="_blank"),", ",
a("Grid", href = "http://igraph.org/r/doc/layout_on_grid.html", target="_blank"),", ",
a("Sphere", href = " http://igraph.org/r/doc/layout_on_sphere.html", target="_blank"),", ",
a("Randomly", href = "http://igraph.org/r/doc/layout_randomly.html", target="_blank"),", ",
a("Davidson-Harel", href = "http://igraph.org/r/doc/layout_with_dh.html", target="_blank"),", ",
a("DRL", href = "http://igraph.org/r/doc/layout_with_drl.html", target="_blank"),", ",
a("GEM", href = "http://igraph.org/r/doc/layout_with_gem.html", target="_blank"),", ",
a("Fruchterman-Reingold", href = "http://igraph.org/r/doc/layout_with_fr.html",target="_blank"),", ",
a("GraphOpt", href = " http://igraph.org/r/doc/layout_with_graphopt.html",target="_blank"),", ",
a("Large Graph", href = "http://igraph.org/r/doc/layout_with_lgl.html",target="_blank"),", ",
a("multidimensional scaling", href = "http://igraph.org/r/doc/layout_with_mds.html",target="_blank"),", ",
a("Kamada-Kawai",href = "http://igraph.org/r/doc/layout_with_kk.html",target="_blank")), trigger = "focus" ) ),
selectInput(inputId = "select_layout",label = NULL,
choices = names(all_layout_algorithms()),
selected = NULL, multiple = FALSE, selectize = TRUE),
#Buttons
div(style="display:inline-block;vertical-align:top; ", disabled(actionButton(inputId = "pn", label = "Plot Network", style="margin-top:10px;"))),
div(style="display:inline-block;vertical-align:top; ",disabled(actionButton(inputId = "pdd", label = " Plot degree distribution", style="margin-top:10px;"))),
div(style="display:inline-block;vertical-align:top; ", disabled(actionButton(inputId = "pcsd", label = " Plot community size distribution", style="margin-top:10px;")))
), # End of sidebarLayout
###################def output function in mainPanel ###################################
mainPanel(
# You must build the object in the server function
tabsetPanel(
tabPanel("Network",
tags$label(textOutput("firstPatientLabel"), 'for'="firstPatient", 'style'="margin-top: 5px;"),
visNetworkOutput("firstPatient"),
tags$label(textOutput("secondPatientLabel"), 'for'="secondPatient"),
visNetworkOutput("secondPatient")
#popupWindows
# bsModal("modalExample", "Your plot", "go", size = "large",visNetworkOutput("firstPatient"),downloadButton('downloadPlot', 'Download'))
),
tabPanel("Degree Distribution",
plotOutput("firstPatientDegreeDistribution"),
plotOutput("secondPatientDegreeDistribution")
),
tabPanel("Community Size Distribution",
plotOutput("firstPatientCommunitySizeDistribution"),
plotOutput("secondPatientCommunitySizeDistribution")
)
),
#show messages
tags$head(tags$script(src = "message-handler.js"))
# link for BcellNet in GitHub just for test href :)
# tags$p(tags$a(href="https://github.com/snaketron/BcellNet","GitHub-BcellNet"))
)#end of mainPanel
) #end of sidebarLayout
),# end of Plot tab
navbarMenu("Advanced settings",
tabPanel("Settings",
fluidRow(
column(1,
tags$img(height=70, width=70, src="logo.png", style="margin-top: 20px; ")
),
column(11,
tags$h1("Find differences in clonal selection", style = "color:#469CF1; font-family:Forte;"),
tags$em("between healthy and HCV-infected individuals", style = "color:#428BCA;")
)
),
sidebarLayout(
sidebarPanel (
tags$span("Threads",'style'="font-family: Helvetica Neue,Helvetica,Arial,sans-serif;font-size: 14px;margin-bottom:5px; font-weight: 700;",
popify(bsButton("help_threads", label = "", icon = icon("question"),
style="info", size = "extra-small"),'Threads ',
content = paste0("The default value is coming from \"sd_num_thrad\".<br> Change this parameter when you want to use another number of threads. <br>This parameter effects time performing by calculation, but can crash your program. <br>Use this parameter if you know what you are doing. "),trigger = "focus")),
textInput("numberOfMaxThreads",label = NULL,value=getOption("sd_num_thread") ,width = "90%"),
tags$span("Maximum similarity pre parameter",'style'="font-family: Helvetica Neue,Helvetica,Arial,sans-serif;font-size: 14px;margin-bottom:5px; font-weight: 700;",
popify(bsButton("help_Max", label = "", icon = icon("question"),
style="info", size = "extra-small"),'Maximum similarity pre parameter',
content = paste0("This parameter has effect to weight calculation.<br> It can increase calculation performance, but you will loose information. <br>Set this parameter, when you want to cut your maximum similarity at the beginnig. <br>For example, you only want b-cells, which have a maximum similarity of 95%, set it to 95. <br>" ),trigger = "focus")),
textInput("max_weight",label = NULL,value=100,width = "90%"),
tags$span("Minimum similarity pre parameter ",'style'="font-family: Helvetica Neue,Helvetica,Arial,sans-serif;font-size: 14px;margin-bottom:5px; font-weight: 700;",
popify(bsButton("help_Min", label = "", icon = icon("question"),
style="info", size = "extra-small"),'Minimum similarity pre parameter',
content = paste0("This parameter has effect to weight calculation. <br>It can increase calculation performance, but you will loose information.<br> Set this parameter, when you want to cut your minimum similarity at the beginnig.<br> For example, you only want b-cells, which have a mimum similarity of 50%, set it to 50.<br> " ),trigger = "focus")),
textInput("min_weight",label=NULL,value=0,width = "90%"),
tags$span("Max upload size",'style'="font-family: Helvetica Neue,Helvetica,Arial,sans-serif;font-size: 14px;margin-bottom:5px; font-weight: 700;",
popify(bsButton("help_Min", label = "", icon = icon("question"),
style="info", size = "extra-small"),'Max upload size"',
content = paste0("Set the maximum upload size of files. Use kb, mb or gb.<br> Hint: It is case sensitive!"),trigger = "focus")),
textInput("maximum_upload_size",label=NULL, value="1gb",width = "90%")
),
mainPanel(
)
)
),
#tabPanel("Setting"),
tabPanel("Help", fluidRow(
column(1,
tags$img(height=70, width=70, src="logo.png", style="margin-top: 20px; ")
),
column(11,
tags$h1("Find differences in clonal selection", style = "color:#469CF1; font-family:Forte;"),
tags$em("between healthy and HCV-infected individuals", style = "color:#428BCA;"),
tags$br(),
tags$br(),
tags$h3("Description:",style = "color:#469CF1;"),
tags$p ("Tool for network-based analysis of B-cell clonal expansion. License: MIT + file LICENSE"),
tags$h3 ("For more Information:",style = "color:#469CF1;"),
tags$p("Simo Kitanovski <simo.kitanovski@uni-due.de>"),
tags$p ("Github Link: ",a(href="https://github.com/snaketron/BcellNet","BcellNet") )
)
)
)# End of Help Tab
)# End of Advance Setting
)
)
snaketron/BcellNet documentation built on May 30, 2019, 5:04 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Defines functions loadSource usePackage
files <- NULL
# setwd("R") is done by shiny since the server file is in here
loadSource <- function(sourceName) {
pattern <- paste("^", sourceName, "$", sep = "")
files <<- list.files(pattern=pattern, recursive = TRUE)
for (file in files) {
source(file)
}
}
loadSource("DistanceMetric.R")
loadSource("PlotBCR.R")
usePackage <- function(p) {
if (!is.element(p, installed.packages()[,1]))
install.packages(p, dependencies = TRUE, repos="http://cran.us.r-project.org")
require(p, character.only = TRUE)
}
usePackage("shiny")
usePackage("shinyjs")
usePackage("shinyBS")
usePackage("markdown")
#UI
#' @importFrom shinyjs disabled
fluidPage(
# activate shinyjs which enables easy commands without JS knowledge
shinyjs::useShinyjs(),
theme = "bcell.css",
# p(style = "font-family:Times New Roman","See other apps in the"),
# a("Shiny Showcase",href = "http://www.rstudio.com/products/shiny/shiny-user-showcase/"),
#html code with tags, you can also write h1("test")
# tags$br(), line break
# here we write *Input() & *Output() functions
#Create *input functions
#comboBoxes
navbarPage("BCellNet",
tabPanel("Plot",
fluidRow(
column(1,
tags$img(height=70, width=70, src="logo.png", style="margin-top: 20px; ")
),
column(11,
tags$h1("Find differences in clonal selection", style = "color:#469CF1; font-family:Forte;"),
tags$em("between healthy and HCV-infected individuals", style = "color:#428BCA;")
)
),
sidebarLayout(
sidebarPanel (
#select File
fileInput('csvFile', 'Choose CSV File',
accept=c('text/csv',
'text/comma-separated-values,text/plain',
'.csv')),
#ende fileInput
#checkBOx
#checkboxInput(inputId = "checkbox1", label = " select input File", value = FALSE),
# selectInput(inputId = "combo1",label = "",
# list(`A` = c("Select B-cell subset", "a", "b"),`AB` = c("WA", "OR", "CA")),
# selected = NULL, multiple = FALSE, selectize = TRUE),
#first patient
disabled(selectInput(inputId = "comboFirstPatient",label = "Select 1st patient",
choices = NULL, selected = NULL, multiple = FALSE, selectize = TRUE)),
#second patient
disabled(selectInput(inputId = "comboSecondPatient", label = "Select 2nd patient",
choices = NULL, selected = NULL, multiple = FALSE, selectize = TRUE)),
disabled(selectInput(inputId = "vjSegmentFirst",label = "Select VJ-Segment for 1st patient",
choices = "whole data",selected = "whole data", multiple = FALSE, selectize = TRUE)),
disabled(selectInput(inputId = "vjSegmentSecond",label = "Select VJ-Segment for 2nd patient",
choices = "whole data",selected = "whole data", multiple = FALSE, selectize = TRUE)),
checkboxInput("linkVJSegments", "Link VJ-Segments", TRUE),
selectInput(inputId = "partOfSequence",label = "Select Part of Sequence",
choices = c("whole sequence", "CDR3", "V sequence"),
selected = "whole sequence", multiple = FALSE, selectize = TRUE),
selectInput(inputId = "distance_metric_name",label = "Select distance metric",
choices = row.names(all_distance_metrics()[1]),
multiple = FALSE),
disabled(numericInput( inputId = "distance_metric_parameter",label = "Parameter",value = 1,min = 0, step = 0.1)),
tags$hr(),
#numericInput
div(style="display:inline-block;vertical-align:top; width: 200px;",numericInput( inputId = "relative_edge_weight_filter",label = "Similarity in %",value =95,min = 0,max = 100, step = 0.01)),
div(style="display:inline-block;vertical-align:top; width: 200px;",numericInput(inputId = "absolute_edge_weight_filter", label = "Absolute distance (100):", 5), min = 0, max = 100),
tags$br(),
# HELP POPUP community
tags$span("Community Selection",'style'="font-family: Helvetica Neue,Helvetica,Arial,sans-serif;font-size: 14px;margin-bottom:5px; font-weight: 700;",
popify(bsButton("q1", label = "", icon = icon("question"),
style="info", size = "extra-small"),'Help for Cluster ',
content = paste0("More details for community structures:<br> ", a("Fast Greedy", href = "http://igraph.org/r/doc/cluster_fast_greedy.html", target="_blank"),", ",
a("Label Prop", href = "http://igraph.org/r/doc/cluster_label_prop.html", target="_blank"),", ",
a("Leading Eigen", href = "http://igraph.org/r/doc/cluster_leading_eigen.html", target="_blank"),", ",
a("Louvain", href = "http://igraph.org/r/doc/cluster_louvain.html",target="_blank"),", ",
a("Optimal", href = "http://igraph.org/r/doc/cluster_optimal.html",target="_blank"),", ",
a("Walktrap",href = "http://igraph.org/r/doc/cluster_walktrap.html",target="_blank")), trigger = "focus" ) ),
# comboBox
selectInput(inputId = "select_community",label = NULL,
choices = names(all_communtiy_algorithms()),
selected = NULL, multiple = FALSE, selectize = TRUE),
# HELP POPUP Layer
tags$span("Layout Generator",'style'="font-family: Helvetica Neue,Helvetica,Arial,sans-serif;font-size: 14px;margin-bottom:5px; font-weight: 700;",
popify(bsButton("q2", label = "", icon = icon("question"),
style="info", size = "extra-small"),'Help for Layout ',
content = paste0("More details for community structures:<br> ", a("Star", href = "http://igraph.org/r/doc/layout_as_star.html", target="_blank"),", ",
a("Circle", href = "http://igraph.org/r/doc/layout_in_circle.html", target="_blank"),", ",
a("Grid", href = "http://igraph.org/r/doc/layout_on_grid.html", target="_blank"),", ",
a("Sphere", href = " http://igraph.org/r/doc/layout_on_sphere.html", target="_blank"),", ",
a("Randomly", href = "http://igraph.org/r/doc/layout_randomly.html", target="_blank"),", ",
a("Davidson-Harel", href = "http://igraph.org/r/doc/layout_with_dh.html", target="_blank"),", ",
a("DRL", href = "http://igraph.org/r/doc/layout_with_drl.html", target="_blank"),", ",
a("GEM", href = "http://igraph.org/r/doc/layout_with_gem.html", target="_blank"),", ",
a("Fruchterman-Reingold", href = "http://igraph.org/r/doc/layout_with_fr.html",target="_blank"),", ",
a("GraphOpt", href = " http://igraph.org/r/doc/layout_with_graphopt.html",target="_blank"),", ",
a("Large Graph", href = "http://igraph.org/r/doc/layout_with_lgl.html",target="_blank"),", ",
a("multidimensional scaling", href = "http://igraph.org/r/doc/layout_with_mds.html",target="_blank"),", ",
a("Kamada-Kawai",href = "http://igraph.org/r/doc/layout_with_kk.html",target="_blank")), trigger = "focus" ) ),
selectInput(inputId = "select_layout",label = NULL,
choices = names(all_layout_algorithms()),
selected = NULL, multiple = FALSE, selectize = TRUE),
#Buttons
div(style="display:inline-block;vertical-align:top; ", disabled(actionButton(inputId = "pn", label = "Plot Network", style="margin-top:10px;"))),
div(style="display:inline-block;vertical-align:top; ",disabled(actionButton(inputId = "pdd", label = " Plot degree distribution", style="margin-top:10px;"))),
div(style="display:inline-block;vertical-align:top; ", disabled(actionButton(inputId = "pcsd", label = " Plot community size distribution", style="margin-top:10px;")))
), # End of sidebarLayout
###################def output function in mainPanel ###################################
mainPanel(
# You must build the object in the server function
tabsetPanel(
tabPanel("Network",
tags$label(textOutput("firstPatientLabel"), 'for'="firstPatient", 'style'="margin-top: 5px;"),
visNetworkOutput("firstPatient"),
tags$label(textOutput("secondPatientLabel"), 'for'="secondPatient"),
visNetworkOutput("secondPatient")
#popupWindows
# bsModal("modalExample", "Your plot", "go", size = "large",visNetworkOutput("firstPatient"),downloadButton('downloadPlot', 'Download'))
),
tabPanel("Degree Distribution",
plotOutput("firstPatientDegreeDistribution"),
plotOutput("secondPatientDegreeDistribution")
),
tabPanel("Community Size Distribution",
plotOutput("firstPatientCommunitySizeDistribution"),
plotOutput("secondPatientCommunitySizeDistribution")
)
),
#show messages
tags$head(tags$script(src = "message-handler.js"))
# link for BcellNet in GitHub just for test href :)
# tags$p(tags$a(href="https://github.com/snaketron/BcellNet","GitHub-BcellNet"))
)#end of mainPanel
) #end of sidebarLayout
),# end of Plot tab
navbarMenu("Advanced settings",
tabPanel("Settings",
fluidRow(
column(1,
tags$img(height=70, width=70, src="logo.png", style="margin-top: 20px; ")
),
column(11,
tags$h1("Find differences in clonal selection", style = "color:#469CF1; font-family:Forte;"),
tags$em("between healthy and HCV-infected individuals", style = "color:#428BCA;")
)
),
sidebarLayout(
sidebarPanel (
tags$span("Threads",'style'="font-family: Helvetica Neue,Helvetica,Arial,sans-serif;font-size: 14px;margin-bottom:5px; font-weight: 700;",
popify(bsButton("help_threads", label = "", icon = icon("question"),
style="info", size = "extra-small"),'Threads ',
content = paste0("The default value is coming from \"sd_num_thrad\".<br> Change this parameter when you want to use another number of threads. <br>This parameter effects time performing by calculation, but can crash your program. <br>Use this parameter if you know what you are doing. "),trigger = "focus")),
textInput("numberOfMaxThreads",label = NULL,value=getOption("sd_num_thread") ,width = "90%"),
tags$span("Maximum similarity pre parameter",'style'="font-family: Helvetica Neue,Helvetica,Arial,sans-serif;font-size: 14px;margin-bottom:5px; font-weight: 700;",
popify(bsButton("help_Max", label = "", icon = icon("question"),
style="info", size = "extra-small"),'Maximum similarity pre parameter',
content = paste0("This parameter has effect to weight calculation.<br> It can increase calculation performance, but you will loose information. <br>Set this parameter, when you want to cut your maximum similarity at the beginnig. <br>For example, you only want b-cells, which have a maximum similarity of 95%, set it to 95. <br>" ),trigger = "focus")),
textInput("max_weight",label = NULL,value=100,width = "90%"),
tags$span("Minimum similarity pre parameter ",'style'="font-family: Helvetica Neue,Helvetica,Arial,sans-serif;font-size: 14px;margin-bottom:5px; font-weight: 700;",
popify(bsButton("help_Min", label = "", icon = icon("question"),
style="info", size = "extra-small"),'Minimum similarity pre parameter',
content = paste0("This parameter has effect to weight calculation. <br>It can increase calculation performance, but you will loose information.<br> Set this parameter, when you want to cut your minimum similarity at the beginnig.<br> For example, you only want b-cells, which have a mimum similarity of 50%, set it to 50.<br> " ),trigger = "focus")),
textInput("min_weight",label=NULL,value=0,width = "90%"),
tags$span("Max upload size",'style'="font-family: Helvetica Neue,Helvetica,Arial,sans-serif;font-size: 14px;margin-bottom:5px; font-weight: 700;",
popify(bsButton("help_Min", label = "", icon = icon("question"),
style="info", size = "extra-small"),'Max upload size"',
content = paste0("Set the maximum upload size of files. Use kb, mb or gb.<br> Hint: It is case sensitive!"),trigger = "focus")),
textInput("maximum_upload_size",label=NULL, value="1gb",width = "90%")
),
mainPanel(
)
)
),
#tabPanel("Setting"),
tabPanel("Help", fluidRow(
column(1,
tags$img(height=70, width=70, src="logo.png", style="margin-top: 20px; ")
),
column(11,
tags$h1("Find differences in clonal selection", style = "color:#469CF1; font-family:Forte;"),
tags$em("between healthy and HCV-infected individuals", style = "color:#428BCA;"),
tags$br(),
tags$br(),
tags$h3("Description:",style = "color:#469CF1;"),
tags$p ("Tool for network-based analysis of B-cell clonal expansion. License: MIT + file LICENSE"),
tags$h3 ("For more Information:",style = "color:#469CF1;"),
tags$p("Simo Kitanovski <simo.kitanovski@uni-due.de>"),
tags$p ("Github Link: ",a(href="https://github.com/snaketron/BcellNet","BcellNet") )
)
)
)# End of Help Tab
)# End of Advance Setting
)
)
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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