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前言

我們繼續(xù)介紹 ComplexHeatmap，今天要介紹的內(nèi)容是熱圖列表。

ComplexHeatmap 包的一個(gè)重要的功能是，能夠在水平或豎直方向連接多個(gè)熱圖和注釋?zhuān)詧D形化的方式展示各信息之間的關(guān)聯(lián)

通常水平方向的連接比較常用，我們介紹的重點(diǎn)也是水平連接，豎直的連接原理基本是一致的。

在進(jìn)行水平連接時(shí)，熱圖和注釋的行數(shù)要相同

例如，我們要繪制三個(gè)熱圖列表，數(shù)據(jù)如下

set.seed(123)
mat1 <- matrix(rnorm(80, 2), 8, 10)
mat1 <- rbind(mat1, matrix(rnorm(40, -2), 4, 10))
rownames(mat1) <- paste0("R", 1:12)
colnames(mat1) <- paste0("C", 1:10)

mat2 <- matrix(runif(60, max = 3, min = 1), 6, 10)
mat2 <- rbind(mat2, matrix(runif(60, max = 2, min = 0), 6, 10))
rownames(mat2) <- paste0("R", 1:12)
colnames(mat2) <- paste0("C", 1:10)

le <- sample(letters[1:3], 12, replace = TRUE)
names(le) <- paste0("R", 1:12)

使用 + 以水平方向連接熱圖

ht1 <- Heatmap(mat1, name = "rnorm")
ht2 <- Heatmap(mat2, name = "runif")
ht3 <- Heatmap(le, name = "letters")

ht1 + ht2 + ht3

默認(rèn)情況下，第二幅熱圖的行樹(shù)狀圖會(huì)刪除，并且其行順序與第一幅熱圖一樣，同時(shí)第一、二幅圖的行名也被刪除

連接操作會(huì)返回 HeatmapList 對(duì)象，直接打印 ht_list 會(huì)調(diào)用 draw 函數(shù)

> ht_list <- ht1 + ht2 + ht3
> class(ht_list)
[1] "HeatmapList"
attr(,"package")
[1] "ComplexHeatmap"

可以連接任意數(shù)量的熱圖，或者往熱圖列表中添加熱圖

ht1 + ht_list
ht_list + ht1
ht_list + ht_list

還可以將 NULL 添加到熱圖列表，適用于在循環(huán)外部設(shè)置一個(gè)空熱圖列表

ht_list <- NULL 
for(s in sth) {
    ht_list = ht_list + Heatmap(...)
}

Heatmap(...) + NULL 將會(huì)返回一個(gè)熱圖列表對(duì)象

1. 標(biāo)題

單個(gè)熱圖的標(biāo)題，可以在 Heatmap 函數(shù)內(nèi)置指定，而熱圖列表的標(biāo)題，需要在 draw 中進(jìn)行設(shè)置

例如

# 首先，我們分別為三個(gè)熱圖設(shè)置顏色
col_rnorm <- colorRamp2(c(-3, 0, 3), c("#f46d43", "#ffffbf", "#3288bd"))
col_runif <- colorRamp2(c(0, 1.5, 3), c("#de77ae", "#f7f7f7", "#7fbc41"))
col_letters <- c("a" = "#33a02c", "b" = "#fb9a99", "c" = "#e31a1c")

# 分別在 Heatmap 函數(shù)內(nèi)設(shè)置單個(gè)熱圖標(biāo)題
ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm,
  row_title = "Heatmap 1",
  column_title = "Heatmap 1")

ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif,
  row_title = "Heatmap 2",
  column_title = "Heatmap 2")

ht3 <- Heatmap(le, name = "letters", 
              col = col_letters)

ht_list <- ht1 + ht2 + ht3

# 設(shè)置熱圖列表的標(biāo)題
draw(
  ht_list, 
  row_title = "Three heatmaps, row title", 
  row_title_gp = gpar(col = "red"),
  column_title = "Three heatmaps, column title", 
  column_title_gp = gpar(fontsize = 16)
)

我們可以看到，第二張熱圖的行名并未顯示

2. 設(shè)置大小

我們?cè)谥暗奈恼轮幸呀?jīng)介紹過(guò)如何設(shè)置熱圖的大小，即 width、height 控制單個(gè)熱圖主體的寬度和高度，heatmap_width 和 heatmap_height 控制所有熱圖（包括注釋?zhuān)┑目倢挾群透叨?/p>

可以指定一個(gè)或多個(gè)熱圖的寬度

ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif, 
  width = unit(4, "cm")
  )
ht3 <- Heatmap(
  le, name = "letters", col = col_letters, 
  width = unit(5, "mm")
  )
ht1 + ht2 + ht3

如果 width 設(shè)置為數(shù)值，將會(huì)轉(zhuǎn)換為 null 單位

ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm, 
  width = 6
  )
ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif, 
  width = 4
  )
ht3 <- Heatmap(
  le, name = "letters", col = col_letters, 
  width = 1
  )
ht1 + ht2 + ht3

3. 設(shè)置間隔

ht_gap 參數(shù)用于控制兩個(gè)熱圖之間的間隔，可以是一個(gè)單位值或向量單位值

ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm
  )
ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif
  )
ht3 <- Heatmap(
  le, name = "letters", col = col_letters
  )
ht_list <- ht1 + ht2 + ht3
draw(ht_list, 
     ht_gap = unit(1, "cm"))

draw(ht_list, 
     ht_gap = unit(c(3, 10), "mm"))

4. 自動(dòng)調(diào)整熱圖主體

在熱圖列表中始終有一個(gè)主熱圖，用于控制全局的行順序，其他所有的熱圖會(huì)根據(jù)主熱圖的配置自動(dòng)進(jìn)行調(diào)整，調(diào)整方式為：

不對(duì)行進(jìn)行聚類(lèi)，按照主熱圖的行順序排列
刪除行標(biāo)題
如果主熱圖進(jìn)行了分割，也會(huì)進(jìn)行分割
主熱圖的高度就是所有熱圖的高度

默認(rèn)第一張熱圖為主熱圖，例如

ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm,
  row_km = 2
  )
ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif
  )
ht3 <- Heatmap(
  le, name = "letters", col = col_letters
  )
ht2 + ht1 + ht3

現(xiàn)在，ht2 為主熱圖，所以 ht1 的 row_km 被忽略了

可以在 draw 函數(shù)中使用 main_heatmap 參數(shù)指定主熱圖，可以是熱圖名或數(shù)值索引

ht_list <- ht2 + ht1 + ht3
draw(ht_list, main_heatmap = "rnorm")
# draw(ht_list, main_heatmap = 2)

默認(rèn)只在主熱圖的邊上繪制其行樹(shù)狀圖和行名，可以使用 row_dend_side 和 row_sub_title_side 參數(shù)來(lái)設(shè)置其放置位置，例如

ht_list <- ht2 + ht1 + ht3
draw(ht_list, main_heatmap = "rnorm", 
     row_dend_side = "right", 
     row_sub_title_side = "left")

如果主熱圖不聚類(lèi)，其他熱圖還是不會(huì)聚類(lèi)

ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm,
  row_km = 2, cluster_rows = FALSE
  )
ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif
  )
ht3 <- Heatmap(
  le, name = "letters", col = col_letters
  )

ht1 + ht2 + ht3

如果要顯示所有行名，可以設(shè)置 auto_adjust = FALSE

ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm,
  row_km = 2
  )
ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif
  )
ht3 <- Heatmap(
  le, name = "letters", col = col_letters
  )

ht_list <- ht1 + ht2 + ht3
draw(ht_list, main_heatmap = "rnorm", 
     auto_adjust = FALSE)

5. 使用 draw 函數(shù)控制主熱圖

主熱圖的設(shè)置可以放在 Heatmap() 函數(shù)內(nèi)部，但是在 draw() 函數(shù)內(nèi)設(shè)置會(huì)更方便些，避免更改主熱圖時(shí)，需要重新設(shè)置參數(shù)，且 draw 的優(yōu)先級(jí)更高

draw 函數(shù)中控制主熱圖行順序的參數(shù)有：

cluster_rows
clustering_distance_rows
clustering_method_rows
row_dend_width
show_row_dend
row_dend_reorder
row_dend_gp
row_order

控制行切片的參數(shù)

row_gap
row_km
row_km_repeats
row_split

控制高度

height
heatmap_height

例如

ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm, 
  row_km = 2, cluster_rows = FALSE)
ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif)
ht3 <- Heatmap(
  le, name = "letters", col = col_letters)

ht_list <- ht1 + ht2 + ht3
draw(
  ht_list, row_km = 1, row_split = le, 
  cluster_rows = TRUE)

Heatmap 函數(shù)內(nèi)的 row_km = 2, cluster_rows = FALSE 會(huì)被 draw 覆蓋

6. 注釋的調(diào)整

如果熱圖列表中某些熱圖帶有注釋?zhuān)⑶?，不同熱圖的注釋的高度是不同的。

熱圖注釋及樹(shù)狀圖的高度會(huì)自動(dòng)進(jìn)行調(diào)整，但是簡(jiǎn)單注釋的大小通常不會(huì)調(diào)整，除非設(shè)置 anno_simple_size 參數(shù)，或者設(shè)置全局變量 ht_opt$anno_simple_size

例如

ht1 = Heatmap(
  mat1, name = "rnorm", col = col_rnorm, 
  top_annotation = HeatmapAnnotation(
    foo1 = 1:10, 
    annotation_name_side = "left")
  )
ht2 = Heatmap(
  mat2, name = "runif", col = col_runif)
ht3 = Heatmap(
  le, name = "letters", col = col_letters)
ht1 + ht2 + ht3

第二個(gè)熱圖的樹(shù)狀圖變高了

ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm, 
  top_annotation = HeatmapAnnotation(
    foo1 = 1:10, bar1 = anno_points(1:10), 
    annotation_name_side = "left")
  )
ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif,
  top_annotation = HeatmapAnnotation(
    bar2 = anno_barplot(1:10)))
ht3 <- Heatmap(
  le, name = "letters", col = col_letters)
ht_list <- ht1 + ht2 + ht3
draw(ht_list, ht_gap = unit(c(6, 2), "mm"))

在這個(gè)例子中，兩幅熱圖都有注釋?zhuān)捎诤?jiǎn)單注視的大小不變，所有調(diào)整了第二幅熱圖的復(fù)雜熱圖的高度，使兩幅熱圖的注釋高度一致

如果第一幅熱圖只有簡(jiǎn)單注釋?zhuān)瑒t會(huì)調(diào)整樹(shù)狀圖的高度

ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm, 
  top_annotation = HeatmapAnnotation(
    foo1 = 1:10,
    annotation_name_side = "left")
  )
ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif,
  top_annotation = HeatmapAnnotation(
    bar2 = anno_barplot(1:10)))
ht3 <- Heatmap(
  le, name = "letters", col = col_letters)
ht_list <- ht1 + ht2 + ht3
draw(ht_list, ht_gap = unit(c(6, 2), "mm"))

如果兩幅熱圖都只包含簡(jiǎn)單注釋?zhuān)亲⑨尩臄?shù)量不同，則還是會(huì)調(diào)整樹(shù)狀圖的高度

ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm, 
  top_annotation = HeatmapAnnotation(
    foo1 = 1:10, 
    annotation_name_side = "left")
  )
ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif,
  top_annotation = HeatmapAnnotation(
    bar2 = cbind(
      b1 = 1:10, b2 = 11:20, b3 = 21:30))
  )
ht3 <- Heatmap(
  le, name = "letters", col = col_letters)
ht_list <- ht1 + ht2 + ht3
draw(ht_list, ht_gap = unit(c(6, 2), "mm"))

如果你想讓簡(jiǎn)單注釋的大小也自動(dòng)調(diào)整，可以在 HeatmapAnnotation() 函數(shù)中設(shè)置 simple_anno_size_adjust = TRUE

如果第一幅熱圖的注釋在底部，第二幅熱圖沒(méi)有注釋?zhuān)瑒t第二幅熱圖的列名直接放置在熱圖主體下方

ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm, 
  bottom_annotation = HeatmapAnnotation(
    foo1 = 1:10, bar1 = anno_points(1:10),
    annotation_name_side = "left")
  )
ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif
  )
ht3 <- Heatmap(
  le, name = "letters", col = col_letters)
ht_list <- ht1 + ht2 + ht3
draw(ht_list, ht_gap = unit(c(6, 2), "mm"))

7. 熱圖與注釋串聯(lián)

行注釋可以添加到水平熱圖列表中，例如

ha1 <- rowAnnotation(
  foo = 1:12, bar = anno_barplot(
    1:12, width = unit(4, "cm"))
  )
ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm, 
  row_km = 2)
ht1 + ha1

上面的注釋可以分割為兩個(gè)獨(dú)立的行注釋

Heatmap(
  mat1, name = "rnorm", col = col_rnorm, 
  row_km = 2) + 
  rowAnnotation(foo = 1:12) +
  rowAnnotation(
    bar = anno_barplot(1:12, width = unit(4, "cm"))
    )

輸出的結(jié)果是一樣的

可是，行名怎么沒(méi)了？我要怎么顯示行名呢？

有兩種方法：

將注釋放在 Heatmap 函數(shù)中

ha1 <- rowAnnotation(
  foo = 1:12, bar = anno_barplot(
    1:12, width = unit(4, "cm"))
  )

Heatmap(
  mat1, name = "rnorm", col = col_rnorm, 
  row_km = 2, right_annotation = ha1
  )

或者將行名作為文本注釋添加

ht1 + ha1 + 
  rowAnnotation(rn = anno_text(
    rownames(mat1), just = "left",
    location = unit(0, "npc")))

通常，熱圖和行注釋可以以任意的次序連接。例如，將注釋添加到左邊和中間

rowAnnotation(foo = 1:12) +
  Heatmap(
    mat1, name = "rnorm", 
    col = col_rnorm, row_km = 2) + 
  rowAnnotation(
    bar = anno_barplot(1:12, 
    width = unit(4, "cm"))) +
  Heatmap(mat2, name = "runif", 
          col = col_runif)

8. 注釋之間的串聯(lián)

可以只串聯(lián)注釋?zhuān)恍枰獰釄D參與

rowAnnotation(foo = 1:12) +
  rowAnnotation(
    bar = anno_barplot(
      1:12, width = unit(4, "cm"))
    )

如果只有一個(gè)注釋?zhuān)仨氁砑右粋€(gè) NULL

rowAnnotation(
  bar = anno_barplot(
    1:12, width = unit(4, "cm"))
  ) + NULL

事實(shí)上，注釋列表本質(zhì)上是一個(gè)熱圖列表

anno_list <- rowAnnotation(foo = 1:12) +
  rowAnnotation(
    bar = anno_barplot(
      1:12, width = unit(4, "cm"))
  )

> class(anno_list)
[1] "HeatmapList"
attr(,"package")
[1] "ComplexHeatmap"

所以，你可以使用 draw() 函數(shù)來(lái)繪制

draw(anno_list, 
     row_split = rep(c("A", "B"), each = 6))

9. 豎直連接

使用 %v% 操作，可以以豎直的方式連接熱圖和注釋?zhuān)渌O(shè)置基本上是類(lèi)似的

下面，列舉幾個(gè)例子

mat1t <-t(mat1)
mat2t <- t(mat2)
ht1 <- Heatmap(
  mat1t, name = "rnorm", col = col_rnorm, 
  row_title = "rnorm")
ht2 <- Heatmap(
  mat2t, name = "runif", col = col_runif, 
  row_title = "runif")
ht3 <- Heatmap(
  rbind(letters = le), name = "letters", 
  col = col_letters)
ht_list <- ht1 %v% ht2 %v% ht3
draw(ht_list)

設(shè)置分塊

draw(ht_list, column_km = 2)

注釋放中間

ha <- HeatmapAnnotation(
  foo = anno_barplot(1:12, height = unit(2, "cm"))
  )
ht_list = ht1 %v% ha %v% ht2 %v% ht3
draw(ht_list, column_km = 2)

將熱圖分塊

ht1 <- Heatmap(
  mat1t, name = "rnorm", col = col_rnorm, 
  row_km = 2)
ht2 <- Heatmap(
  mat2t, name = "runif", col = col_runif, 
  row_km = 2)
ht3 <- Heatmap(
  rbind(letters = le), name = "letters", 
  col = col_letters)

ha <- HeatmapAnnotation(
  foo = anno_barplot(1:12, height = unit(2, "cm"))
  )

ht_list <- ht1 %v% ha %v% ht2 %v% ht3
draw(ht_list, column_km = 2)

行注釋大小的調(diào)整與列注釋一樣

ht1 <- Heatmap(
  mat1t, name = "rnorm", col = col_rnorm, 
  row_km = 2, left_annotation = rowAnnotation(
    foo1 = 1:10, bar1 = anno_barplot(1:10))
  )
ha <- HeatmapAnnotation(
  foo = anno_barplot(
    1:12, height = unit(2, "cm"), 
    axis_param = list(side = "right"))
  )
ht2 <- Heatmap(
  mat2t, name = "runif", col = col_runif, 
  row_km = 2, left_annotation = rowAnnotation(foo2 = 1:10))

ht3 <- Heatmap(
  rbind(letters = le), name = "letters", 
  col = col_letters)
ht_list = ht1 %v% ha %v% ht2 %v% ht3
draw(ht_list, column_km = 2)

10. 熱圖列表子集

與 Heatmap 對(duì)象類(lèi)似，熱圖列表也可以進(jìn)行切片操作。

對(duì)于水平熱圖列表，行索引對(duì)應(yīng)所有熱圖和注釋的行，列索引為相應(yīng)的熱圖或注釋名稱(chēng)。例如

ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm,
  left_annotation = rowAnnotation(
    foo1 = 1:12, bar1 = anno_points(1:12))
  )
ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif
  )
ha <- rowAnnotation(
  foo2 = anno_barplot(1:12), bar2 = 12:1
  )
ht_list <- ht1 + ht2 + ha

獲取熱圖列表包含的熱圖和注釋名稱(chēng)

> names(ht_list)
[1] "rnorm" "runif" "foo2"  "bar2"

獲取子集

ht_list[1:6, c("rnorm", "bar2")]

對(duì)于豎直熱圖列表也是類(lèi)似的。

11. 獲取次序和樹(shù)狀圖

row_order() 和 column_order() 可以獲取熱圖列表的行列順序。

記住：是對(duì) draw 函數(shù)的返回對(duì)象進(jìn)行操作

例如，對(duì)于如下熱圖列表

ht1 <- Heatmap(
  mat1, name = "rnorm", col = col_rnorm)
ht2 <- Heatmap(
  mat2, name = "runif", col = col_runif)
ht_list <- ht1 + ht2
ht_list <- draw(ht_list)

行順序

> row_order(ht_list)
 [1]  3  6  4  5  2  1  7  8 10  9 11 12

列順序

> column_order(ht_list)
$rnorm
 [1]  5  2  7  6 10  1  9  8  4  3

$runif
 [1]  4 10  2  5  7  6  1  3  8  9

如果未分塊熱圖，返回的是 list

row_dend() 和 column_dend() 可以獲取行列樹(shù)狀圖.

12. 全局參數(shù)

ht_opt() 函數(shù)用于控制全局參數(shù)，可以使用該函數(shù)為所有熱圖和注釋設(shè)置參數(shù)值

獲取所有全局參數(shù)

> ht_opt
 Option                  Value
 -----------------------:-------
 heatmap_row_names_gp    NULL 
 heatmap_column_names_gp NULL 
 heatmap_row_title_gp    NULL 
 heatmap_column_title_gp NULL 
 legend_title_gp         NULL 
 legend_title_position   NULL 
 legend_labels_gp        NULL 
 legend_grid_height      NULL 
 legend_grid_width       NULL 
 legend_border           NULL 
 heatmap_border          NULL 
 annotation_border       NULL 
 fast_hclust             FALSE
 show_parent_dend_line   TRUE 
 verbose                 FALSE
 show_vp                 FALSE
 simple_anno_size        5mm  
 DENDROGRAM_PADDING      0.5mm
 DIMNAME_PADDING         1mm  
 TITLE_PADDING           2.5mm
 COLUMN_ANNO_PADDING     1mm  
 ROW_ANNO_PADDING        1mm

這些參數(shù)都是見(jiàn)名知意的，不需要再做說(shuō)明了

獲取這些參數(shù)值的方式，可以是

> ht_opt("heatmap_row_names_gp")
NULL
> ht_opt$heatmap_row_names_gp
NULL

設(shè)置參數(shù)值

ht_opt("heatmap_row_names_gp" = gpar(fontsize = 8))
ht_opt$heatmap_row_names_gp <- gpar(fontsize = 8)

實(shí)例

ht_opt(
  heatmap_column_names_gp = gpar(fontface = "italic"), 
  heatmap_column_title_gp = gpar(fontsize = 10),
  legend_border = "black",
  heatmap_border = TRUE,
  annotation_border = TRUE
)
ht1 <- Heatmap(
  mat1, name = "ht1", column_title = "Heatmap 1",
  top_annotation = HeatmapAnnotation(foo = 1:10)
  )
ht2 <- Heatmap(
  mat2, name = "ht2", column_title = "Heatmap 2",
  top_annotation = HeatmapAnnotation(bar = 1:10)
  )
ht1 + ht2

繪制完之后，應(yīng)該重置參數(shù)值

ht_opt(RESET = TRUE)

13. 設(shè)置邊距

draw 函數(shù)中的 padding 參數(shù)可以設(shè)置繪圖塊四周的邊距，padding 參數(shù)接受長(zhǎng)度為 4 的向量，分別代表圖像的下、左、上、右的邊距

例如，對(duì)于行名較長(zhǎng)的熱圖，會(huì)出現(xiàn)顯示不全的問(wèn)題

m <- matrix(rnorm(100), 10)
rownames(m) <- paste0("R", 1:10)
rownames(m)[1] = "a long long long long long row name"

ht <- Heatmap(
  m, name = "mat", row_names_side = "left", 
  show_row_dend = FALSE
  )
  
draw(ht)

添加邊距

draw(ht, padding = unit(c(2, 20, 2, 2), "mm"))

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R 數(shù)據(jù)可視化 —— 聚類(lèi)熱圖 ComplexHeatmap(三)熱圖列表

R 數(shù)據(jù)可視化 —— 聚類(lèi)熱圖 ComplexHeatmap(三)熱圖列表

前言

1. 標(biāo)題

2. 設(shè)置大小

3. 設(shè)置間隔

4. 自動(dòng)調(diào)整熱圖主體

5. 使用 draw 函數(shù)控制主熱圖

6. 注釋的調(diào)整

7. 熱圖與注釋串聯(lián)

8. 注釋之間的串聯(lián)

9. 豎直連接

10. 熱圖列表子集

11. 獲取次序和樹(shù)狀圖

12. 全局參數(shù)

13. 設(shè)置邊距

相關(guān)閱讀更多精彩內(nèi)容

友情鏈接更多精彩內(nèi)容

色偷偷精品伊人,欧洲久久精品,欧美综合婷婷骚逼,国产AV主播,国产最新探花在线,九色在线视频一区,伊人大交九 欧美,1769亚洲,黄色成人av

R 數(shù)據(jù)可視化 —— 聚類(lèi)熱圖 ComplexHeatmap(三)熱圖列表

前言

1. 標(biāo)題

2. 設(shè)置大小

3. 設(shè)置間隔

4. 自動(dòng)調(diào)整熱圖主體

5. 使用 draw 函數(shù)控制主熱圖

6. 注釋的調(diào)整

7. 熱圖與注釋串聯(lián)

8. 注釋之間的串聯(lián)

9. 豎直連接

10. 熱圖列表子集

11. 獲取次序和樹(shù)狀圖

12. 全局參數(shù)

13. 設(shè)置邊距

相關(guān)閱讀更多精彩內(nèi)容

友情鏈接更多精彩內(nèi)容

色偷偷精品伊人,欧洲久久精品,欧美综合婷婷骚逼,国产AV主播,国产最新探花在线,九色在线视频一区,伊人大交九欧美,1769亚洲,黄色成人av