network_analysis<-fluidRow(
tags$div(
id="maindiv3",
column(12,radioButtons("globalcor", "3.1 Perform correlation-based network analysis of selected features:", inline=TRUE,c(True = "TRUE",False = "FALSE"),selected = "FALSE")),
conditionalPanel(
condition = "input.globalcor == 'TRUE'",
column(width=12,
id="inputarea",
column(width=6,numericInput(width="350px","abs_cor_thresh", "Absolute correlation threshold:", 0.4, min = 0, max = 1)),
column(width=6,numericInput(width="350px","cor_fdrthresh", "FDR threshold for correlation analysis:", 0.05, min = 0, max = 1)),
column(width=6,selectInput(width="350px","cor_method","Correlation method:",c("spearman","pearson"))),
column(width=6,selectInput(width="350px","networktype","Network type:",c("complete","GGM")))
)
),
column(width=12,radioButtons("WGCNAmodules", "3.2 Perform WGCNA module preservation analysis:", inline=TRUE,c(True = "TRUE",False = "FALSE"),selected = "FALSE")),
column(width=12,radioButtons("globalclustering", "3.3 Perform global clustering analysis (HCA and EM clustering):", inline=TRUE,c(True = "TRUE",False = "FALSE"),selected = "FALSE"))
)
)
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