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Commit 72223423 authored by Amine GHOZLANE's avatar Amine GHOZLANE
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Debug alpha sort and add percent of labeled features

parent 39948823
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internal.R
View file @ 72223423
......@@ -206,11 +206,13 @@ CheckCountsTable <- function(counts)
## Select cols in the target
labels = target[,1]
ind = which(colnames(CT)%in%labels)
## Get the feature size for the normalisation
Size_indcol = which(toupper(colnames(CT))%in%"SIZE")
if(length(Size_indcol)==1) FeatureSize = CT[,Size_indcol]
if(length(ind)==length(labels))
{
CT = CT[,ind]
......@@ -254,6 +256,7 @@ CheckCountsTable <- function(counts)
CheckTarget = TRUE
}
return(list(counts=counts,CheckTarget=CheckTarget,normFactors=normFactors, CT_noNorm=CT_noNorm))
#return(list(counts=counts,target=target[ind,],labeled=labeled,normFactors=normFactors, CT_noNorm=CT_noNorm))
}
## Get the geometric mean of the counts (0 are replaced by NA values)
......@@ -289,7 +292,7 @@ CheckCountsTable <- function(counts)
dds <- DESeqDataSetFromMatrix(countData=counts, colData=target, design=design)
sizeFactors(dds) = normFactorsOTU
dds <- estimateDispersions(dds, fitType=input$fitType)
dds <- nbinomWaldTest(dds)
dds <- nbinomWaldTest(dds,modelMatrixType = "expanded")
countsNorm = counts(dds, normalized = TRUE)
return(list(dds = dds,raw_counts=counts,countsNorm=countsNorm,target=target,design=design,normFactors = normFactorsOTU,CT_noNorm=CT_noNorm))
}
......@@ -1370,7 +1373,7 @@ CheckCountsTable <- function(counts)
conds = unique(group)
result = list()
alpha = input$AlphaVal
alpha = as.numeric(input$AlphaVal)
cooksCutoff = ifelse(input$CooksCutOff!='Auto',ifelse(input$CooksCutOff!=Inf,input$CutOffVal,Inf),TRUE)
result[[input$ContrastList_table]] <- results(dds,contrast=BaseContrast[,input$ContrastList_table],pAdjustMethod=input$AdjMeth,
cooksCutoff=cooksCutoff,
......@@ -1423,9 +1426,10 @@ CheckCountsTable <- function(counts)
mcols.add$outlier <- ifelse(mcols(dds)$maxCooks > cooksCutoff, "Yes", "No")
complete.name <- merge(complete.name, mcols.add, by = "Id")
complete[[name]] <- complete.name
up.name <- complete.name[which(complete.name$padj <= alpha & complete.name$betaConv & complete.name$log2FoldChange>=0), ]
complete.name=complete.name[order(complete.name$padj),]
up.name <- complete.name[which(complete.name$padj <= alpha & complete.name$betaConv & complete.name$log2FoldChange>=0.0), ]
up.name <- up.name[order(up.name$padj), ]
down.name <- complete.name[which(complete.name$padj<=alpha & complete.name$betaConv & complete.name$log2FoldChange<=0), ]
down.name <- complete.name[which(complete.name$padj<=alpha & complete.name$betaConv & complete.name$log2FoldChange<=0.0), ]
down.name <- down.name[order(down.name$padj), ]
name <- gsub(" ", "", name)
......@@ -1507,4 +1511,4 @@ CheckCountsTable <- function(counts)
}
\ No newline at end of file
server.R
View file @ 72223423
......@@ -215,8 +215,9 @@ shinyServer(function(input, output,session) {
CheckTarget = FALSE
normFactors = NULL
CT_noNorm = NULL
#labeled= NULL
data = dataInput()$data
target = isolate(dataInputTarget())
target = isolate(dataInputTarget()$target)
taxo = isolate(input$TaxoSelect)
if(!is.null(data$counts) && !is.null(data$taxo) && nrow(data$counts)>0 && nrow(data$taxo)>0 && !is.null(taxo) && taxo!="..." && !is.null(target))
......@@ -225,10 +226,13 @@ shinyServer(function(input, output,session) {
tmp = isolate(GetCountsMerge(input,data,taxo,target,design))
counts = tmp$counts
CheckTarget = tmp$CheckTarget
#target = tmp$target
#labeled = tmp$labeled
normFactors = tmp$normFactors
CT_noNorm = tmp$CT_noNorm
}
return(list(counts=counts,CheckTarget=CheckTarget,normFactors=normFactors,CT_noNorm=CT_noNorm))
#return(list(counts=counts,target=target,labeled=labeled,normFactors=normFactors,CT_noNorm=CT_noNorm))
})
......@@ -422,16 +426,26 @@ shinyServer(function(input, output,session) {
inFile <- input$fileTarget
counts = dataInput()$data$counts
if (is.null(inFile)) return(NULL)
data = read.csv(inFile$datapath,sep="\t",header=TRUE)
rownames(data) <- as.character(data[, 1])
ind = which(rownames(data)%in%colnames(counts))
#ord = order(rownames(data))
#data = data[ord,]
### A SUPPRIMER
#rownames(data) <- colnames(counts)
return((data))
# Percent annotated
print(ind)
print(colnames(counts))
print(rownames(data))
labeled = length(ind)/length(colnames(counts))*100.0
return(list(target=data[ind,], labeled=labeled))
})
......@@ -439,7 +453,7 @@ shinyServer(function(input, output,session) {
## Interest Variables
output$SelectInterestVar <- renderUI({
target=dataInputTarget()
target=dataInputTarget()$target
if(!is.null(target))
{
......@@ -453,7 +467,7 @@ shinyServer(function(input, output,session) {
## Interactions
output$SelectInteraction2 <- renderUI({
target = dataInputTarget()
target = dataInputTarget()$target
if(!is.null(target))
{
......@@ -467,7 +481,7 @@ shinyServer(function(input, output,session) {
## Reference radio buttons
output$RefSelect <- renderUI({
target = dataInputTarget()
target = dataInputTarget()$target
RB=list()
if(!is.null(target))
{
......@@ -489,16 +503,22 @@ shinyServer(function(input, output,session) {
# Infobox design
output$RowTarget <- renderInfoBox({
target = dataInputTarget()
if(!is.null(target))
#target = dataInputTarget()
#labeled = dataMergeCounts()$labeled
labeled = dataInputTarget()$labeled
if(!is.null(labeled))
{
#### Ajout fontion check target
infoBox(h6(strong("Target file")), subtitle = h6("Your target file is OK"), icon = icon("thumbs-o-up"),color = "green",width=NULL,fill=TRUE)
#infoBox(h6(strong("Target file")), subtitle = h6("Your target file is OK"), icon = icon("thumbs-o-up"),color = "green",width=NULL,fill=TRUE)
labeled = round(labeled,2)
if(labeled>0) res = valueBox(paste0(labeled, "%"),h6(strong("Labeled features")), color = "green",width=NULL,icon = icon("list"))
else res = valueBox(paste0(labeled, "%"),h6(strong("Labeled features")), color = "red",width=NULL,icon = icon("list"))
}
else infoBox(h6(strong("Target file")), subtitle = h6("Label of the target file must correspond to count table column names") ,color = "light-blue",width=NULL,fill=TRUE, icon = icon("warning"))
})
#else infoBox(h6(strong("Target file")), subtitle = h6("Label of the target file must correspond to count table column names") ,color = "light-blue",width=NULL,fill=TRUE, icon = icon("warning"))
else res = valueBox(paste0(0, "%"),h6(strong("Labeled features")), color = "light-blue",width=NULL,icon = icon("list"))
return(res)
}
)
......@@ -551,7 +571,7 @@ shinyServer(function(input, output,session) {
## Box for target visualisation
output$BoxTarget <- renderUI({
target = dataInputTarget()
target = dataInputTarget()$target
if(!is.null(target) && nrow(target)>0)
{
......@@ -877,7 +897,9 @@ output$InfoContrast <- renderInfoBox({
counts = dataMergeCounts()$counts
CT_noNorm = dataMergeCounts()$CT_noNorm
normFactors = dataMergeCounts()$normFactors
target = dataInputTarget()
## HEEEERRREE
target = dataInputTarget()$target
print(target)
design = GetDesign(input)
Get_dds_object(input,counts,target,design,normFactors,CT_noNorm)
......@@ -942,7 +964,7 @@ output$InfoContrast <- renderInfoBox({
output$VarIntDiag <- renderUI({
target=dataInputTarget()
target=dataInputTarget()$target
if(!is.null(target))
{
......@@ -991,7 +1013,7 @@ output$InfoContrast <- renderInfoBox({
output$ModMat <- renderUI({
VarInt = input$VarInt
target = dataInputTarget()
target = dataInputTarget()$target
Mod = list()
......@@ -1011,7 +1033,7 @@ output$InfoContrast <- renderInfoBox({
Mod = NULL
VisuVarInt = input$VisuVarInt
target = dataInputTarget()
target = dataInputTarget()$target
if(!is.null(VisuVarInt))
{
Mod = list()
......@@ -1261,7 +1283,7 @@ output$ExportTableButton <- renderUI({
output$RunButton <- renderUI({
res = NULL
target = dataInputTarget()
target = dataInputTarget()$target
taxo = input$TaxoSelect
if(!is.null(target) && taxo!="...") res = actionButton("RunDESeq",strong("Run analysis"),icon = icon("caret-right"))
......@@ -1450,7 +1472,7 @@ output$RunButton <- renderUI({
cont = which(colnames(padj)%in%SelContrast)
padj = padj[,cont]
}
ind = which(padj<=input$AlphaVal)
ind = which(padj<=as.numeric(input$AlphaVal))
if(length(ind)>0) selTaxo = Feature_names[ind]
else selTaxo = NULL
res = selectizeInput("selectTaxoPlot",h6(strong(paste("Select the",input$TaxoSelect, "to plot"))),Available_taxo, selected = selTaxo,multiple = TRUE,options = list(minItems = 2))
......@@ -1471,7 +1493,7 @@ output$RunButton <- renderUI({
cont = which(colnames(padj)%in%SelContrast)
padj = padj[,cont]
}
ind = which(padj>input$AlphaVal)
ind = which(padj>as.numeric(input$AlphaVal))
if(length(ind)>0) selTaxo = Feature_names[ind]
else selTaxo = NULL
res = selectizeInput("selectTaxoPlot",h6(strong(paste("Select the",input$TaxoSelect, "to plot"))),Available_taxo, selected = selTaxo,multiple = TRUE,options = list(minItems = 2))
......@@ -1490,7 +1512,7 @@ output$RunButton <- renderUI({
# if(length(int)>=2) intSel = int[c(1,2)]
# else intSel = int[1]
target=dataInputTarget()
target=dataInputTarget()$target
if(!is.null(target))
{
......
ui.R
View file @ 72223423
......@@ -216,7 +216,8 @@ body <- dashboardBody(
tabItem(tabName = "RunDiff",
fluidRow(
column(width=3,infoBoxOutput("RowTarget",width=NULL)),
column(width=3,valueBoxOutput("RowTarget",width=NULL)),
#column(width=3,infoBoxOutput("RowTarget",width=NULL)),
column(width=3,infoBoxOutput("InfoTaxo",width=NULL)),
column(width=3,infoBoxOutput("InfoDESeq",width=NULL)),
column(width=3,infoBoxOutput("InfoContrast",width=NULL))
......@@ -473,7 +474,7 @@ body <- dashboardBody(
## HEATMAP
##################
conditionalPanel(condition="input.PlotVisuSelect=='Heatmap'",
selectizeInput(inputId = "HeatMapType",label = h6(strong("Type of data")),choices = c("Counts" = "Counts", "Log2FC" = "Log2FC"),selected = "Counts")
selectizeInput(inputId = "HeatMapType",label = h6(strong("Type of data")),choices = c("Log2Counts" = "Counts", "Log2FoldChange" = "Log2FC"),selected = "Counts")
),
conditionalPanel(condition="input.PlotVisuSelect=='Heatmap' && input.HeatMapType=='Log2FC'",
selectizeInput("ContrastList_table_FC",h6(strong("Contrasts (Min = 2)")),choices = "", multiple = TRUE)
......
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