[移动开发]Seurat包AddModuleScore用在bulk RNA-seq数据

?代码改的比较粗糙，自用。

AddModuleScore_bulk <- function (object, features, nbin = 24, ctrl = 100, 
                                 k = FALSE, assay = NULL, name = "Cluster", seed = 1) 
{
  set.seed(seed = 1)
  
  features <- lapply(X = features, FUN = function(x) {
    missing.features <- setdiff(x = x, y = rownames(x = object))
    if (length(x = missing.features) > 0) {
      warning("The following features are not present in the object: ", 
              paste(missing.features, collapse = ", "), 
              ifelse(test = FALSE, yes = ", attempting to find updated synonyms", 
                     no = ", not searching for symbol synonyms"), 
              call. = FALSE, immediate. = TRUE)
    }
    return(intersect(x = x, y = rownames(x = object)))
  })
  
  cluster.length <- length(x = features)
  
  pool <- rownames(x = object)
  data.avg <- apply(object,1, mean)
  data.avg <- data.avg[order(data.avg)]
  data.cut <- cut_number(x = data.avg + rnorm(n = length(data.avg))/1e+30, 
                         n = nbin, labels = FALSE, right = FALSE)
  names(x = data.cut) <- names(x = data.avg)
  ctrl.use <- vector(mode = "list", length = cluster.length)
  for (i in 1:cluster.length) {
    features.use <- features[[i]]
    for (j in 1:length(x = features.use)) {
      ctrl.use[[i]] <- c(ctrl.use[[i]], names(x = sample(x = data.cut[which(data.cut == 
                                                                              data.cut[features.use[j]])], size = ctrl, replace = FALSE)))
    }
  }
  ctrl.use <- lapply(X = ctrl.use, FUN = unique)
  ctrl.scores <- matrix(data = numeric(length = 1L), nrow = length(x = ctrl.use), 
                        ncol = ncol(x = object))
  for (i in 1:length(ctrl.use)) {
    features.use <- ctrl.use[[i]]
    ctrl.scores[i, ] <- apply(object[features.use,], 2, mean)
  }
  features.scores <- matrix(data = numeric(length = 1L), nrow = cluster.length, 
                            ncol = ncol(x = object))
  for (i in 1:cluster.length) {
    features.use <- features[[i]]
    data.use <- object[features.use, , drop = FALSE]
    features.scores[i, ] <- apply(data.use, 2, mean)
  }
  features.scores.use <- features.scores - ctrl.scores
  
  colnames(features.scores.use) <- colnames(object)
  rownames(features.scores.use) <- name
  return(features.scores.use)
}

输入的是一个N×M的矩阵，features是用于打分的基因list。一般情况下输入一个list，代码中的cluster.length=1。

score <- AddModuleScore_bulk(expr, features, name='score')