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R语言的exp_immu_cor_plot.r如何使用

发表于:2024-09-22 作者:千家信息网编辑
千家信息网最后更新 2024年09月22日,这篇"R语言的exp_immu_cor_plot.r如何使用"文章的知识点大部分人都不太理解,所以小编给大家总结了以下内容,内容详细,步骤清晰,具有一定的借鉴价值,希望大家阅读完这篇文章能有所收获,下
千家信息网最后更新 2024年09月22日R语言的exp_immu_cor_plot.r如何使用

这篇"R语言的exp_immu_cor_plot.r如何使用"文章的知识点大部分人都不太理解,所以小编给大家总结了以下内容,内容详细,步骤清晰,具有一定的借鉴价值,希望大家阅读完这篇文章能有所收获,下面我们一起来看看这篇"R语言的exp_immu_cor_plot.r如何使用"文章吧。

exp_immu_cor_plot.r 基因表达量与免疫侵润相关性绘图分析

使用方法:

$Rscript ../scripts/exp_immu_cor_plot.r -husage: ../scripts/exp_immu_cor_plot.r [-h] -e expset -i immu [-m method]                                      [-a alternative] [-n ncol] [-l]                                      [-x label.x.npc] [-y label.y.npc]                                      [-o outdir] [-H height] [-W width]scattor correlateion plot: https://www..com/article/1488optional arguments:  -h, --help            show this help message and exit  -e expset, --expset expset                        set event column name [required]  -i immu, --immu immu  input data file path[required]  -m method, --method method                        a character string indicating which correlation                        coefficient (or covariance) is to be computed. One of                        "pearson", "kendall", or "spearman". [default pearson]  -a alternative, --alternative alternative                        a character string specifying the alternative                        hypothesis, must be one of "two.sided" , "greater" or                        "less". You can specify just the initial letter.                        [default two.sided]  -n ncol, --ncol ncol  column num [default [default 4]  -l, --log2            Whether to do log2 transformation of gene expression                        [default FALSE]  -x label.x.npc, --label.x.npc label.x.npc                        value should be between 0 and 1. Coordinates to be                        used for positioning the label, expressed in                        "normalized parent coordinates". [default 0]  -y label.y.npc, --label.y.npc label.y.npc                        value should be between 0 and 1. Coordinates to be                        used for positioning the label, expressed in                        "normalized parent coordinates". [default 1]  -o outdir, --outdir outdir                        output file directory [default cwd]  -H height, --height height                        the height of pic inches [default 5]  -W width, --width width                        the width of pic inches [default 10]

使用举例:

Rscript ../scripts/exp_immu_cor_plot.r -e gene_exp1.tsv -i ../03.TIME/immu/timer.res.tsv -o timer_cor1 --log2

参数说明:

-e 指定输入指定基因的表达量,行为 基因,列为样本名称

IDTCGA-D7-A74A-01A-11R-A32D-31TCGA-BR-7704-01A-11R-2055-13TCGA-VQ-A91N-01A-11R-A414-31TCGA-CD-A4MH-01A-11R-A251-31
NUP5018.6550531.5923228.2338228.76485
CXCR464.85805125.12356.3524469.98976
NT5E111.481869.858779.3738225.05824
EFNA38.24785742.0330843.4643226.66024
STC14.78111121.3632740.8107719.51568
ZBTB7A95.51678103.4768158.3024126.2677
CLDN91.1874562.4761380.3660817.347344

-i 输入样本免疫侵润结果, 注意脚本会自动对两个文件里的样本取交集

cell_typeTCGA-B7-A5TK-01A-12R-A36D-31TCGA-BR-7959-01A-11R-2343-13TCGA-IN-8462-01A-11R-2343-13TCGA-BR-A4CR-01A-11R-A24K-31
B cell00.0131597420.0009075070.020234
T cell CD4+00.1148827970.1180611510.152274
T cell CD8+0.7711217670.1307983490.0489647120.005392
Neutrophil0.226927920.1251947360.1065623430.057013
Macrophage00.21336535800.05444
Myeloid dendritic cell0.9356441910.4578443990.4047748130.296719

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