From e038752887418ff32de7d2345afa098dba1bf7c5 Mon Sep 17 00:00:00 2001 From: wikiselev Date: Mon, 4 Dec 2017 17:20:58 +0000 Subject: [PATCH] first working version of full scmap (cluster+cell) --- server.R | 132 +++++++++++++----- ui.R | 59 ++++---- www/scmap-cell/human/baron-human.rds | Bin 0 -> 914379 bytes www/scmap-cell/human/li.rds | Bin 0 -> 110070 bytes www/scmap-cell/human/muraro.rds | Bin 0 -> 295712 bytes www/scmap-cell/human/pollen.rds | Bin 0 -> 76016 bytes www/scmap-cell/human/segerstolpe.rds | Bin 0 -> 303752 bytes www/scmap-cell/human/xin.rds | Bin 0 -> 229117 bytes www/scmap-cell/human/yan.rds | Bin 0 -> 37395 bytes www/scmap-cell/mouse/baron-mouse.rds | Bin 0 -> 247055 bytes www/scmap-cell/mouse/deng-rpkms.rds | Bin 0 -> 74742 bytes www/scmap-cell/mouse/goolam.rds | Bin 0 -> 48344 bytes www/scmap-cell/mouse/klein.rds | Bin 0 -> 350706 bytes www/scmap-cell/mouse/kolodziejczyk.rds | Bin 0 -> 137963 bytes www/scmap-cell/mouse/macosko.rds | Bin 0 -> 3033879 bytes www/scmap-cell/mouse/shekhar.rds | Bin 0 -> 2721826 bytes www/scmap-cell/mouse/tasic-rpkms.rds | Bin 0 -> 245498 bytes www/scmap-cell/mouse/usoskin.rds | Bin 0 -> 122326 bytes www/scmap-cell/mouse/zeisel.rds | Bin 0 -> 371338 bytes .../human/baron-human.csv | 0 www/{refs => scmap-cluster}/human/li.csv | 0 www/{refs => scmap-cluster}/human/muraro.csv | 0 www/{refs => scmap-cluster}/human/pollen.csv | 0 .../human/segerstolpe.csv | 0 www/{refs => scmap-cluster}/human/xin.csv | 0 www/{refs => scmap-cluster}/human/yan.csv | 0 .../mouse/baron-mouse.csv | 0 .../mouse/deng-rpkms.csv | 0 www/{refs => scmap-cluster}/mouse/goolam.csv | 0 www/{refs => scmap-cluster}/mouse/klein.csv | 0 .../mouse/kolodziejczyk.csv | 0 www/{refs => scmap-cluster}/mouse/macosko.csv | 0 www/{refs => scmap-cluster}/mouse/shekhar.csv | 0 .../mouse/tasic-rpkms.csv | 0 www/{refs => scmap-cluster}/mouse/usoskin.csv | 0 www/{refs => scmap-cluster}/mouse/zeisel.csv | 0 36 files changed, 119 insertions(+), 72 deletions(-) create mode 100644 www/scmap-cell/human/baron-human.rds create mode 100644 www/scmap-cell/human/li.rds create mode 100644 www/scmap-cell/human/muraro.rds create mode 100644 www/scmap-cell/human/pollen.rds create mode 100644 www/scmap-cell/human/segerstolpe.rds create mode 100644 www/scmap-cell/human/xin.rds create mode 100644 www/scmap-cell/human/yan.rds create mode 100644 www/scmap-cell/mouse/baron-mouse.rds create mode 100644 www/scmap-cell/mouse/deng-rpkms.rds create mode 100644 www/scmap-cell/mouse/goolam.rds create mode 100644 www/scmap-cell/mouse/klein.rds create mode 100644 www/scmap-cell/mouse/kolodziejczyk.rds create mode 100644 www/scmap-cell/mouse/macosko.rds create mode 100644 www/scmap-cell/mouse/shekhar.rds create mode 100644 www/scmap-cell/mouse/tasic-rpkms.rds create mode 100644 www/scmap-cell/mouse/usoskin.rds create mode 100644 www/scmap-cell/mouse/zeisel.rds rename www/{refs => scmap-cluster}/human/baron-human.csv (100%) rename www/{refs => scmap-cluster}/human/li.csv (100%) rename www/{refs => scmap-cluster}/human/muraro.csv (100%) rename www/{refs => scmap-cluster}/human/pollen.csv (100%) rename www/{refs => scmap-cluster}/human/segerstolpe.csv (100%) rename www/{refs => scmap-cluster}/human/xin.csv (100%) rename www/{refs => scmap-cluster}/human/yan.csv (100%) rename www/{refs => scmap-cluster}/mouse/baron-mouse.csv (100%) rename www/{refs => scmap-cluster}/mouse/deng-rpkms.csv (100%) rename www/{refs => scmap-cluster}/mouse/goolam.csv (100%) rename www/{refs => scmap-cluster}/mouse/klein.csv (100%) rename www/{refs => scmap-cluster}/mouse/kolodziejczyk.csv (100%) rename www/{refs => scmap-cluster}/mouse/macosko.csv (100%) rename www/{refs => scmap-cluster}/mouse/shekhar.csv (100%) rename www/{refs => scmap-cluster}/mouse/tasic-rpkms.csv (100%) rename www/{refs => scmap-cluster}/mouse/usoskin.csv (100%) rename www/{refs => scmap-cluster}/mouse/zeisel.csv (100%) diff --git a/server.R b/server.R index d457e5a..6cbe87f 100644 --- a/server.R +++ b/server.R @@ -79,16 +79,16 @@ server <- function(input, output) { return(res) } - getIndex <- function() { + scmapCluster_index <- function() { if (input$data_type == "existing") { # load indexes - files <- list.files(paste0("www/refs/", input$organism), pattern = ".csv") + files <- list.files(paste0("www/scmap-cluster/", input$organism), pattern = ".csv") index <- list() for (f in files) { name <- strsplit(f, "\\.")[[1]][1] tmp <- read.csv( paste0( - "www/refs/", + "www/scmap-cluster/", input$organism, "/", f ) ) @@ -114,29 +114,74 @@ server <- function(input, output) { return(index) } + scmapCell_index <- function() { + if (input$data_type == "existing") { + # load indexes + files <- list.files(paste0("www/scmap-cell/", input$organism), pattern = ".rds") + index <- list() + for (f in files) { + name <- strsplit(f, "\\.")[[1]][1] + tmp <- readRDS( + paste0( + "www/scmap-cell/", + input$organism, "/", f + ) + ) + index[[name]] <- tmp + } + } else { + # compute the index + dataset <- values$reference_data() + if(values$features) { + rowData(dataset)$scmap_features <- values$scmap_features + rowData(dataset)$scmap_scores <- values$scmap_scores + } else { + dataset <- selectFeatures(dataset) + } + index <- indexCell( + dataset + ) + index <- list(metadata(index)$scmap_cell_index) + } + return(index) + } + scmap <- function() { - # compute index - index <- getIndex() - # run scmap-cluster + index_cluster <- scmapCluster_index() scmapCluster_results <- scmapCluster( values$projection_data(), - index_list = index + index_list = index_cluster ) if(!"SingleCellExperiment" %in% is(scmapCluster_results)) { # summarise results of scmap-cluster - values$scmap_cluster_siml <- scmapCluster_results$scmap_cluster_siml - values$scmap_cluster_labs <- scmapCluster_results$scmap_cluster_labs - values$scmap_cluster_comb <- scmapCluster_results$combined_labs + values$scmap_cluster_res <- scmapCluster_results values$scmap_cluster_all <- - scmapClusterResults2table(index, scmapCluster_results$scmap_cluster_labs) + scmapClusterResults2table(index_cluster, scmapCluster_results$scmap_cluster_labs) values$scmap_cluster_combined <- - scmapClusterResults2table(index, data.frame(scmapCluster_results$combined_labs)) + scmapClusterResults2table(index_cluster, data.frame(scmapCluster_results$combined_labs)) } else { values$scmap_cluster_worked <- FALSE } + + if(input$run_scmap_cell == "Yes") { + # run scmap-cell + index_cell <- scmapCell_index() + scmapCell_results <- scmapCell( + values$projection_data(), + index_list = index_cell + ) + if("list" %in% is(scmapCell_results)) { + # summarise results of scmap-cell + values$scmap_cell_all <- scmapCell_results + } else { + print(class(scmapCell_results)) + values$scmap_cell_worked <- FALSE + } + } + return() } @@ -205,35 +250,50 @@ server <- function(input, output) { ) }) - output$results_cluster <- renderUI({ + output$results <- renderUI({ switch(input$data_type, "own" = list( + fluidRow( box(width = 12, - title = "Results", + title = "scmap-cluster", DT::dataTableOutput('results_table'), - downloadButton("scmap_cluster_labs", 'Download All Assignments'), - downloadButton("scmap_cluster_siml", 'Download All Similarities'), + downloadButton("scmap_cluster_all", 'Download'), solidHeader = TRUE, status = "success" + ), + conditionalPanel("input.run_scmap_cell == 'Yes'", + box(width = 12, + title = "scmap-cell", + downloadButton("scmap_cell_all", 'Download'), + solidHeader = TRUE, + status = "success" + ) ) + ) ), "existing" = list( fluidRow( box(width = 12, - title = "Individual Results", + title = "scmap-cluster", DT::dataTableOutput('results_table'), - downloadButton("scmap_cluster_labs", 'Download All Assignments'), - downloadButton("scmap_cluster_siml", 'Download All Similarities'), + downloadButton("scmap_cluster_all", 'Download'), solidHeader = TRUE, status = "success" ), box(width = 12, - title = "Consensus Results", + title = "scmap-cluster (combined)", DT::dataTableOutput('consensus_results_table'), - downloadButton("consensus_results_assignments", 'Download Consensus Assignments'), solidHeader = TRUE, status = "success" - ) + ), + conditionalPanel("input.run_scmap_cell == 'Yes'", + box(width = 12, + title = "scmap-cell", + downloadButton("scmap_cell_all", 'Download'), + solidHeader = TRUE, + status = "success" + ) + ) ) ) ) @@ -331,30 +391,21 @@ server <- function(input, output) { values$feature_table <- row_data }) - output$scmap_cluster_labs <- downloadHandler( + output$scmap_cluster_all <- downloadHandler( filename = function() { - paste('scmap_results_assignments.csv', sep='') + 'scmap-cluster.rds' }, content = function(con) { - write.csv(values$scmap_cluster_labs, con, quote = FALSE) + saveRDS(values$scmap_cluster_res, con) } ) - output$scmap_cluster_siml <- downloadHandler( + output$scmap_cell_all <- downloadHandler( filename = function() { - paste('scmap_results_similarities.csv', sep='') + 'scmap-cell.rds' }, content = function(con) { - write.csv(values$scmap_cluster_siml, con, quote = FALSE) - } - ) - - output$consensus_results_assignments <- downloadHandler( - filename = function() { - paste('scmap_results_consensus.csv', sep='') - }, - content = function(con) { - write.csv(values$scmap_cluster_comb, con, quote = FALSE) + saveRDS(values$scmap_cell_all, con) } ) @@ -367,10 +418,12 @@ server <- function(input, output) { }) output$reference_data <- reactive({ values$scmap_cluster_worked <- TRUE + values$scmap_cell_worked <- TRUE return(!is.null(values$reference_data())) }) output$projection_data <- reactive({ values$scmap_cluster_worked <- TRUE + values$scmap_cell_worked <- TRUE return(!is.null(values$projection_data())) }) output$reference_feature_symbol <- reactive({ @@ -404,6 +457,10 @@ server <- function(input, output) { return(values$scmap_cluster_worked) }) + output$scmap_cell_worked <- reactive({ + return(values$scmap_cell_worked) + }) + # make output variables visible for the client side outputOptions(output, "projection_file", suspendWhenHidden = FALSE) outputOptions(output, "reference_file", suspendWhenHidden = FALSE) @@ -414,4 +471,5 @@ server <- function(input, output) { outputOptions(output, "pdata_cell_types", suspendWhenHidden = FALSE) outputOptions(output, "features", suspendWhenHidden = FALSE) outputOptions(output, "scmap_cluster_worked", suspendWhenHidden = FALSE) + outputOptions(output, "scmap_cell_worked", suspendWhenHidden = FALSE) } diff --git a/ui.R b/ui.R index eb60c7c..8237fe7 100644 --- a/ui.R +++ b/ui.R @@ -25,7 +25,7 @@ dashboardPage( menuItem("About", tabName = "about", icon = icon("bank")), menuItem("Datasets", tabName = "datasets", icon = icon("cloud-upload")), menuItem("Features", tabName = "features", icon = icon("gears")), - menuItem("scmap-cluster", tabName = "results_cluster", icon = icon("area-chart")) + menuItem("Results", tabName = "results", icon = icon("area-chart")) ) ) ), @@ -40,7 +40,7 @@ dashboardPage( sidebarMenu( menuItem("About", tabName = "about", icon = icon("bank")), menuItem("Datasets", tabName = "datasets", icon = icon("cloud-upload")), - menuItem("scmap-cluster", tabName = "results_cluster", icon = icon("area-chart")) + menuItem("Results", tabName = "results", icon = icon("area-chart")) ) ) ) @@ -155,6 +155,14 @@ dashboardPage( solidHeader = TRUE ) ), + box(width = 12, + HTML("

Would you like to run scmap-cell? (may take some time)

"), + radioButtons("run_scmap_cell", NULL, + c("No" = "No", + "Yes" = "Yes"), + selected = "No"), + solidHeader = TRUE + ), solidHeader = TRUE, status = "primary" ) @@ -206,39 +214,20 @@ dashboardPage( ) ) ), - tabItem(tabName = "results_cluster", + tabItem(tabName = "results", fluidRow( - conditionalPanel("input.data_type == 'own'", - box(width = 12, - title = "Cell Projection", - HTML("

scmap projects all cells - of the Projection dataset to the - reference calculated from the Reference dataset. - The Reference is computed by calculating - the median expression in each of 500 - selected features across all - cells in each cell type."), - solidHeader = TRUE, - status = "primary" - ) - ), - conditionalPanel("input.data_type == 'existing'", - box(width = 12, - title = "Cell Projection", - HTML("

scmap projects all cells - of the Projection dataset to the precomputed - References. The references were computed by - selecting 500 most informative features of each - Reference dataset and calculating - the median expression in each of 500 features across all - cells in each cell type."), - solidHeader = TRUE, - status = "primary" - ) - ) + box(width = 12, + title = "Cell Projection", + HTML("

scmap projects all cells + of the Projection dataset to the + either cell clusters (scmap-cluster) or + each individual cell (scmap-cell) of the Reference dataset."), + solidHeader = TRUE, + status = "primary" + ) ), - conditionalPanel(condition="!$('html').hasClass('shiny-busy') & output.scmap_cluster_worked", - uiOutput("results_cluster") + conditionalPanel(condition="!$('html').hasClass('shiny-busy') & output.scmap_cluster_worked & output.scmap_cell_worked", + uiOutput("results") ), conditionalPanel(condition="$('html').hasClass('shiny-busy')", fluidRow( @@ -252,11 +241,11 @@ dashboardPage( offset = 2) ) ), - conditionalPanel("!output.scmap_cluster_worked", + conditionalPanel("!output.scmap_cluster_worked || !output.scmap_cell_worked", box(width = 12, HTML("

-

scmap-cluster did not work! Most probably +

scmap did not work! Most probably Reference and Projection come from different organisms, please check your inputs!

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