Create test matrix（造数据）

set.seed(6)test = matrix(rnorm(200), 20, 10)test[1:10, seq(1, 10, 2)] = test[1:10, seq(1, 10, 2)] + 3test[11:20, seq(2, 10, 2)] = test[11:20, seq(2, 10, 2)] + 2test[15:20, seq(2, 10, 2)] = test[15:20, seq(2, 10, 2)] + 4colnames(test) = paste("Test", 1:10, sep = "")rownames(test) = paste("Gene", 1:20, sep = "")

正文从这里开始

# Show text within cellspheatmap(test, display_numbers = TRUE)pheatmap(test, display_numbers = TRUE, number_format = "\\%.1e")pheatmap(test, display_numbers = TRUE, display_numbers = matrix(ifelse(test > 5, "*", ""), nrow(test)))

  • display_numbers = T 即Show text within cells

  • number_format 可以格式输出display_number

  • 或者干脆自定义一个matrix通过display_numbers参数进行display

# legend（图例）的设置选项pheatmap(test)  # p1pheatmap(test, legend_breaks = -1:7)  # p2pheatmap(test, legend_breaks = 1:6, legend_labels = c("6","6", "6", "6", "6", "6"))  # p3pheatmap(test, legend_breaks = 9:14, legend_labels = c("6","6", "6", "6", "6", "6"))  # p4

  • pheatmap函数会在内部算出legend的数值范围，本例中大概是 -1:7

  • 在数值范围内，我们可以设定legend_breaks，以及对legend_breaks这个label的文本展示

  • legend_breaks和legend_labels是有一个对应关系的，否则报错如下

    Error in pheatmap(test, legend_breaks = 1:6, legend_labels =
    c(“6”, “6”, : Lengths of legend_breaks and legend_labels must be
    the same

  • 假如我们的设定范围超出，就如p4所示

# Fix cell sizes and save to file with correct sizepheatmap(test, cellwidth = 15, cellheight = 12, main = "Example heatmap")  # the title of the plotpheatmap(test, cellwidth = 15, cellheight = 12, fontsize = 8, filename = "test.pdf")  # save to pdf# Change angle of text in the columns (0, 45, 90, 270 and 315)pheatmap(test, angle_col = "45")pheatmap(test, angle_col = "0")

有关annotation

# Generate annotations for rows and columns（先造数据）annotation_col = data.frame(                    CellType = factor(rep(c("CT1", "CT2"), 5)),                     Time = 1:5                )rownames(annotation_col) = paste("Test", 1:10, sep = "")annotation_row = data.frame(                    GeneClass = factor(rep(c("Path1", "Path2", "Path3"), c(10, 4, 6)))                )rownames(annotation_row) = paste("Gene", 1:20, sep = "")# Display row and color annotationspheatmap(test, annotation_col = annotation_col, cluster_cols = F)pheatmap(test, annotation_col = annotation_col, annotation_legend = FALSE, cluster_cols = F)pheatmap(test, annotation_row = annotation_row, cluster_rows = F)

  • annotation数据首先要组织成dataframe，dataframe中的rownames要和注释项进行对应，
    而column就是要展示的注释条，每个column都会生成一个注释条来显示

  • annotation_col/row 默认会有legend配合展示，annotation_legend = FALSE可以去掉legend

# Specify colors （自定义注释条颜色）ann_colors = list(    Time = c("white", "firebrick"),    CellType = c(CT1 = "#1B9E77", CT2 = "#D95F02"),    GeneClass = c(Path1 = "#7570B3", Path2 = "#E7298A", Path3 = "#66A61E"))pheatmap(test, annotation_col = annotation_col, annotation_colors = ann_colors)pheatmap(test, annotation_col = annotation_col, annotation_row = annotation_row, annotation_colors = ann_colors)

  • 注释条颜色数据要组织成list（list的灵活性就在此处凸显出来了），
    list中的每个元素名作为对应项（对应前述dataframe中的colnames），
    同时可以进一步为attribute指定颜色，例如
    CT1 = "#1B9E77", CT2 = "#D95F02"

参考资料

pheatmap帮助文档