pheatmap(data, annotation_col = annotation) 在上述示例中,"data.txt"是包含数据的文件,"Group"和"Condition"是要进行标注的两列。通过设置"annotation_col"参数为标注矩阵,可以在热图中显示这两列的标注信息。 推荐的腾讯云相关产品:腾讯云服务器(https://cloud.tencent.com/product/cvm)和腾讯云数据库(https://...
pheatmap(data,scale="none",cluster_cols=F,cluster_rows=F,show_rownames=T,annotation_col=sample_class,annotation_colors=ann_colors) 4.如果想给基因分组,同样的excel里面把每个基因的分类给出来,放到txt里面,读到R,并给每个分组指定颜色。 gene_class<-read.table("gene_class.txt",header=T,sep="\t"...
annotation_col= annotation_col, cluster_rows = FALSE, cluster_cols = FALSE,
首先创建annotation_col 与annotation_row 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)=...
annotation_r <- data.frame(gene_class, gene_type) rownames(annotation_r) <- rownames(exp_ds) 画图 pheatmap(exp_ds, #表达数据 cluster_rows = T,#行聚类cluster_cols = T,#列聚类 annotation_col =annotation_c, #样本分类数据 annotation_row = annotation_r, ...
annotation_row$test<-c(rep(c("test1","test2"),each=36),"test3")pheatmap(pld2,cluster_rows=F,cluster_cols=F,gaps_col=c(5,10,15,20),annotation_col=annotaion_col[-1],annotation_row=annotation_row[3],# border_color = "black",color=colorRampPalette(colors=c("white","red"))(100)...
legend_labels =NA, annotation_row =NA, annotation_col =NA, annotation =NA, annotation_colors =NA, annotation_legend =TRUE, annotation_names_row =TRUE, annotation_names_col =TRUE, drop_levels =TRUE, show_rownames =T, show_colnames =T, main =NA, ...
legend_labels = NA, annotation_row = NA, annotation_col = NA, annotation = NA, annotation_colors = NA, annotation_legend = TRUE, annotation_names_row = TRUE, annotation_names_col = TRUE, drop_levels = TRUE, show_rownames = T, show_colnames = T, main = NA, ...
annotation_col = annotaion_col, color = colorRampPalette(colors = c("white","red"))(100)) 1. 2. 3. 4. 5. 6. 这时一切正常,border_color我根本不用去动它。 加上行注释后热图边框消失了 pheatmap(pld, cluster_rows = F, cluster_cols = F, ...
pheatmap(test, annotation_col = annotation_col, annotation_row = annotation_row, annotation_colors = ann_colors) #还可以利用gaps_row, gaps_col自己设定要分隔开的位置 pheatmap(test, annotation_col = annotation_col, cluster_rows = FALSE, gaps_row = c(10, 14), ...