@@ -2282,6 +2282,38 @@ ui <- renderUI(
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column(12 , textAreaInput(" limmalabelspec" , h5(" specified points:" ), placeholder = " NUP35_S279\n PCNP_T139\n SEPTIN9_S30\n " ))
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),
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column(12 , div(actionButton(" limmabt" , " Analysis" , icon(" magnifying-glass-chart" ), class = ' analysisbutton' ), style = " display:flex; justify-content:center; align-item:center;" ))
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+ ),
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+ panel(
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+ " " ,
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+ heading = " Heatmap Parameters Setting" ,
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+ status = " warning" ,
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+ column(12 , selectInput(" limmaphscale" , h5(" scale:" ), choices = c(" none" , " row" , " column" ), selected = " row" )),
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+ column(6 , prettyToggle(
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+ inputId = " limmaphcluster" ,
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+ label_on = " cluster by row" ,
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+ icon_on = icon(" check" ),
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+ status_on = " info" ,
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+ status_off = " warning" ,
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+ label_off = " no cluster" ,
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+ icon_off = icon(" xmark" ),
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+ value = TRUE
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+ )),
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+ column(6 , prettyToggle(
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+ inputId = " limmaphrowname" ,
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+ label_on = " display row name" ,
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+ icon_on = icon(" check" ),
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+ status_on = " info" ,
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+ status_off = " warning" ,
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+ label_off = " miss row name" ,
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+ icon_off = icon(" xmark" ),
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+ value = F
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+ )),
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+ conditionalPanel(
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+ condition = " input.limmaphcluster == 1" ,
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+ column(6 , selectInput(" limmaphdistance" , h5(" clustering distance rows:" ), choices = c(" euclidean" , " correlation" ), selected = " euclidean" )),
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+ column(6 , selectInput(" limmaphclusmethod" , h5(" clustering method:" ), choices = c(" ward.D2" , " ward.D" , " single" , " complete" , " average" , " mcquitty" , " median" , " centroid" ), selected = " ward.D2" )),
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+ ),
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+ column(12 , div(actionButton(" limmaphbt" , " Plot Heatmap" , icon(" palette" ), class = " plotbutton" )), style = " display:flex; justify-content:center; align-item:center;" )
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)
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),
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column(
@@ -2324,41 +2356,9 @@ ui <- renderUI(
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)
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),
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column(2 , NULL ),
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- column(12 , NULL ),
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column(
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4 ,
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- panel(
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- " " ,
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- heading = " Heatmap Parameters Setting" ,
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- status = " warning" ,
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- column(12 , selectInput(" limmaphscale" , h5(" scale:" ), choices = c(" none" , " row" , " column" ), selected = " row" )),
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- column(6 , prettyToggle(
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- inputId = " limmaphcluster" ,
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- label_on = " cluster by row" ,
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- icon_on = icon(" check" ),
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- status_on = " info" ,
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- status_off = " warning" ,
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- label_off = " no cluster" ,
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- icon_off = icon(" xmark" ),
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- value = TRUE
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- )),
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- column(6 , prettyToggle(
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- inputId = " limmaphrowname" ,
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- label_on = " display row name" ,
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- icon_on = icon(" check" ),
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- status_on = " info" ,
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- status_off = " warning" ,
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- label_off = " miss row name" ,
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- icon_off = icon(" xmark" ),
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- value = F
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- )),
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- conditionalPanel(
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- condition = " input.limmaphcluster == 1" ,
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- column(6 , selectInput(" limmaphdistance" , h5(" clustering distance rows:" ), choices = c(" euclidean" , " correlation" ), selected = " euclidean" )),
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- column(6 , selectInput(" limmaphclusmethod" , h5(" clustering method:" ), choices = c(" ward.D2" , " ward.D" , " single" , " complete" , " average" , " mcquitty" , " median" , " centroid" ), selected = " ward.D2" )),
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- ),
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- column(12 , div(actionButton(" limmaphbt" , " Plot Heatmap" , icon(" palette" ), class = " plotbutton" )), style = " display:flex; justify-content:center; align-item:center;" )
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- )
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+ NULL
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),
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column(
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8 ,
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