top_annotation = HeatmapAnnotation(summary = anno_summary(gp = gpar(fill = 2:6), height = unit(2, "cm"))), width = unit(15, "mm")) + rowAnnotation(length = anno_points(expr$length, pch = 16, size = unit(1, "mm"), axis_param = list(at = c(0, 2e5, 4e5, 6e5), la...
top_annotation = HeatmapAnnotation( Tobacoo=cli$Tobacoo, 代码语言:txt 复制 Alchoal=cli$Alchoal, 代码语言:txt 复制 HPV16=cli$HPV16, 代码语言:txt 复制 cluster=cli$cluster, 代码语言:txt 复制 annotation_legend_param=list(labels_gp = gpar(fontsize = 9), 代码语言:txt 复制 title_gp = gpar(...
p@top_annotation@anno_list[[coltype]]@name_param$gp$fontfamily=font_family# 列分类标题p@top_annotation@anno_list[[coltype]]@legend_param=gpar(title_gp=gpar(fontfamily=font_family),labels_gp=gpar(fontfamily=font_family))p@left_annotation@anno_list[[rowtype]]@name_param$gp$fontfamily=font_...
when use pheatmap in complexheatmap, can not use parameter column_names_gp, which cause error as fellows: > pheatmap(HDEG_AVGexpr_mtx,cluster_rows=F,scale = "row",border_color = F,show_rownames = F,top_annotation = ha,column_names_gp = g...
pheatmap(top100_de[1:20,], show_colnames = F, cellwidth = 6, cellheight = 6, fontsize = 6, cutree_cols = 2, annotation_col = dplyr::select( cancer_normal_samples_info, group), annotation_colors = list( group = c('Cancer' = '#fc8d59', 'Normal' = '#99d594') ), color ...
pheatmap(test, cluster_row=FALSE, annotation_colors=annotation_col_colors, annotation_legend="topright", annotation=annotation_col) ``` 其中,`annotation_colors`参数用于设置注释的颜色,`annotation_legend`参数用于设置注释图例的位置,`annotation`参数用于添加注释信息。 以上方法仅供参考,如需更多信息,建议访问...
栈顶缓存技术 栈顶缓存技术:Top Of Stack Cashing 基于栈式架构的虚拟机所使用的零地址指令虽然更加紧凑,但完成一项操作的时候必然需要使用更多的入栈和出栈指令,这同时也就意味着将需要更多的指令分派(instruction dispatch)次数和内存读/写次数。 由于操作数是存储在内存中的,因此频繁地执行内存读/写操作必然会影响...
pheatmap(top_de_exp, scale = 'row', ) 上色,图裂开 pheatmap(log10(top_de_exp + 1), #cluster_rows = F, #cluster_cols = F, show_colnames = F,#列名不显示 annotation_col = select(sample_info,stage), cutree_rows = 3) 设置stage的颜色 ...
colnames = F,# annotation_col = sample_info[,c("?" "?")]# annotation_col = select(sample_info,stage)# cutree_rows = 3 # 根据聚类结果,将热图分开# color = colorRampPalette(c("green","white","red"))(100), # 分成100个颜色梯度)pheatmap::pheatmap(top_de_exp,scale="row")# 标准...
#两类分组1.Celltype;2. GroupListp4<-pheatmap(mat=dat,cluster_rows=T,cluster_columns=F,border_color=NA,show_colnames=FALSE,show_rownames=FALSE,fontsize=14,annotation_col=df_info,drop_levels=TRUE,main="Default Heatmap",filename='heatmap_top1000_rtg.png') ...