Description Usage Arguments Value
自动生成每个marker的直方图(密度图);
自动生成每个marker的直方图(密度图);
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | draw_density_plots(
combined_data_plot,
groups,
all_markers,
cluster_color = dif_seq_rainbow,
cluster_name = "metacluster",
output_dir = "cluster_density_plots",
major_cond = "Tissue_Type",
cluster_id = NULL,
xlim = NULL,
free_x = F,
trans_method = "simpleAsinh"
)
draw_density_plots(
combined_data_plot,
groups,
all_markers,
cluster_color = dif_seq_rainbow,
cluster_name = "metacluster",
output_dir = "cluster_density_plots",
major_cond = "Tissue_Type",
cluster_id = NULL,
xlim = NULL,
free_x = F,
trans_method = "simpleAsinh"
)
|
combined_data_plot |
数据框或者矩阵,附带有(meta)cluster、降维结果(t_sne_1,t_sne_2)的表达矩阵 |
groups |
实验组的Metadata信息,其中必需包含列名:”Short_name“ |
cluster_color |
tSNE图的亚群的配色方案,默认dif_seq_rainbow |
cluster_name |
用过分析的cluster名称 |
output_dir |
输出数据文件夹名称 |
major_cond |
选择groups中一个列名做为展现差异的major_cond |
cluster_id |
指定显示的cluster |
xlim |
指定x轴范围,例如:c(0,5),只在free_x=F的时候有效 |
free_x |
True或者FALSE,设置是否每张图X-轴取值范围是否自动,建议设置为F |
trans_method |
数据转化方式,有四种:"CytofAsinh","simpleAsinh";"0_to_Max",所有Marker的信号强度除以最大值,线性转换,通过除以各通道信号的最大值把数值scale到0~1;"Min_to_Max",线性转换,最小值转换成0,最大值转换成1,最大限度展现population的表达差异 |
none
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