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这是一个集成的函数，很多小伙伴被一些美图”迷了眼“，需要这样、那样的形式。单独做又很麻烦，且容易出错。要求既要这样展示，又要那样展示。所以我们直接做了一个集成的函数，完成一些美丽的可视化，尽力满足需求。这里要展示的单细胞marker基因平均表达量热图，按理来说有很多教程，可是有些小伙伴在热图注释、顺序调整、热图美化上面晕头转向，所以我们熬点夜解决这个问题。

完整函数已上传微信VIP群，请自行下载！
视频解说见B站：KS科研分享与服务
https://www.bilibili.com/video/BV1w5mMYpE7B/?spm_id_from=333.999.0.0&vd_source=05b5479545ba945a8f5d7b2e7160ea34
我们看看函数参数：

函数出图可以是这样的：
ks_Singcellmean_heatmap(object = sce_cca,                        marker_cluster = df_markers,                        group.by = "celltype",                        cellOrder = c("Myonuclei","NPCs","SMC","Tenocytes",                                      "Adipocytes","Endothelial","Macrophages",                                      "Mesenchymal","MuSCs","Myoblasts"),                        cell_cols = c("#edc951","#8AAD05","#cc2a36","#4f372d","#00a0b0","#7A989A",                                      "#849271","#CF9546","#C67052","#C1AE8D"),                        text_size=9,                        gene_anno = F)

可以是这样的：
ks_Singcellmean_heatmap(object = sce_cca,                        marker_cluster = df_markers,                        group.by = "celltype",                        cellOrder = c("Myonuclei","NPCs","SMC","Tenocytes",                                      "Adipocytes","Endothelial","Macrophages",                                      "Mesenchymal","MuSCs","Myoblasts"),                        cell_cols = c("#edc951","#8AAD05","#cc2a36","#4f372d","#00a0b0","#7A989A",                                      "#849271","#CF9546","#C67052","#C1AE8D"),                        text_size=9,                        gene_anno = T)

或者这样展示：
ks_Singcellmean_heatmap(object = sce_cca,                        marker_cluster = df_markers,                        group.by = "celltype",                        cellOrder = c("Myonuclei","NPCs","SMC","Tenocytes",                                      "Adipocytes","Endothelial","Macrophages",                                      "Mesenchymal","MuSCs","Myoblasts"),                        cell_cols = c("#edc951","#8AAD05","#cc2a36","#4f372d","#00a0b0","#7A989A",                                      "#849271","#CF9546","#C67052","#C1AE8D"),                        text_size=9,                        direction="vertical",                        gene_anno=F)

或者这样：

ks_Singcellmean_heatmap(object = sce_cca,                        marker_cluster = df_markers,                        group.by = "celltype",                        cellOrder = c("Myonuclei","NPCs","SMC","Tenocytes",                                      "Adipocytes","Endothelial","Macrophages",                                      "Mesenchymal","MuSCs","Myoblasts"),                        cell_cols = c("#edc951","#8AAD05","#cc2a36","#4f372d","#00a0b0","#7A989A",                                      "#849271","#CF9546","#C67052","#C1AE8D"),                        text_size=9,                        direction="vertical",                        gene_anno=T)

这样就完成了。希望对你有用！

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