clustering_distance_columns = dist_letters, # 显示单元格文本 cell_fun = function(j, i, x, y, w, h, col) { grid.text(discrete_mat[i, j], x, y) } ) 3.2 聚类函数 层次聚类的聚类方法与hclust()函数一样,使用clustering_method_rows和clustering_method_columns两个参数来分别指定行列的聚类方...
clustering_method_rows row_dend_width show_row_dend row_dend_reorder row_dend_gp row_order 控制行分割: row_gap row_km row_km_repeats row_split 控制热图高度: height heatmap_height 一个参数被覆盖的小例子: ht1 = Heatmap(mat1, name = "rnorm", col = col_rnorm, row_km = 2, cluste...
p1 <- Heatmap(mat, name = "mat1", clustering_distance_rows = "pearson", column_title = "pre-defined distance method(1-pearson)") p2 <- Heatmap(mat, name = "mat2", clustering_distance_rows = function(m) dist(m), column_title = "a function that calculates distance matrix") p1 +...
clustering_method_rows Method to perform hierarchical clustering, pass tohclust. row_dend_side Should the row dendrogram be put on the left or right of the heatmap? row_dend_width Width of the row dendrogram, should be aunitobject.
Heatmap(mat, name ="mat", clustering_distance_rows =function(x, y)1-cor(x, y), column_title ="a function that calculates pairwise distance") AI代码助手复制代码 C:聚类方法 支持hclust()中的聚类方法。 Heatmap(mat, name ="mat", clustering_method_rows ="single") ...
执行分层聚类的方法,可以通过clustering_method_rows和clustering_method_columns指定。可能的方法是hclust()函数中支持的方法。 Heatmap(mat, name = "mat", clustering_method_rows = "single") singleheatmap_29 如果已经有一个聚类对象,则可以忽略距离设置,并将cluster_rows或cluster_columns设置为聚类对象或聚类函...
Heatmap(mat,name="mat",clustering_method_rows="single") 代码语言:javascript 代码运行次数:0 运行 D:聚类树的渲染 根据聚类结果将聚类树的枝设置不同的颜色 代码语言:javascript 代码运行次数:0 运行 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ...
cluster_columns = dend1,#列方向添加 簇级 树聚类column_split = length(unique(cell.meta$Identity)),#热图列方向按簇拆分#热图主体column_dend_height = unit(2,"cm"),#树的高度clustering_method_columns ="spearson",#树的聚类方法column_title ="_OH_MY_Doheatmap_",#列方向大标题column_title_sid...
p <- pheatmap::pheatmap(sox9.dTAG.TPM.scale.merge[all.BAF.genes,], cluster_cols = F, cluster_rows = T, show_rownames = T, clustering_method ="complete", cutree_rows = 3) 一个简单的判断语句 1 cols <-ifelse(p$gtable$grobs[[4]]$label %in% SOX9.direct.all.BAF.genes,"red","bl...
clustering_method_rows = “complete”,、 #clustering_method_rows 行聚类的方法,默认为“complete”,可参考hclust row_dend_side = c(“left”, “right”), #row_dend_side:行聚类树位置,左(“left”),右(“right”) row_dend_width = unit(10, “mm”), #row_dend_width:行聚类树的宽度,unit...