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Today, the editor will share with you the relevant knowledge points about how to use immune_compare_stat.r in R language. The content is detailed and the logic is clear. I believe most people still know too much about this, so share this article for your reference. I hope you can get something after reading this article. Let's take a look at it.

Comparison of immune_compare_stat.r immunocyte expression difference

Instructions for use:

$Rscript $scriptdir/immune_compare_stat.r-husage: / work/STAD_immu_demo1/scripts/immune_compare_stat.r [- h]-I filepath-v celltype [celltype...]-m Filepath-g group [- b groupby] [- o path] [- n prefix] t.test annova and wilcox.test: https://www..com/article/1496optional arguments:-h -- help show this help message and exit-I filepath,-- input filepath input alpha diversity celltype file [required]-v celltype [celltype...],-- celltype celltype [celltype...] Which celltype to compare: "B cell"... [required]-m filepath,-- metadata filepath input metadata filepath [required]-g group,-- group name from metadata to test [required]-b groupby,-- groupby groupby main group name from metadata to test [default NULL]-o path -- outdir path output file directory [default cwd]-- n prefix,-- name prefix out file name prefix [default demo]

Examples of use:

Rscript $scriptdir/immune_compare_stat.r-I immu/ssgsea.res.tsv\-m metadata.group.tsv-g subtype.hclust\-- celltype "B cells", "T cells"-o immu-n ssgse above is all the content of this article "how to use immune_compare_stat.r in R language". Thank you for reading! I believe you will gain a lot after reading this article. The editor will update different knowledge for you every day. If you want to learn more knowledge, please pay attention to the industry information channel.

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