Description

Perform logratio-based correlation analysis -> get proportionality & basis shrinkage partial correlation coefficients. One can also compute standard correlation coefficients, if required.

Input

Name (Type)
Description
Pattern

meta (map)

Groovy Map containing sample information.
This can be used at the workflow level to pass optional parameters to the module.
[id: ‘test’, …]

count (file)

Count matrix, where rows = variables or genes, columns = samples or cells.
This matrix should not contain zeros. Otherwise, they will be replaced by the minimun number.
It is recommended to handle the zeros beforehand with the method of preference.

*.{csv,tsv}

Output

Name (Type)
Description
Pattern

meta (map)

Groovy Map containing sample information.
This can be used at the workflow level to pass optional parameters to the module.
[id: ‘test’, …]

propr (file)

R propr object

*.propr.rds

matrix (file)

Coefficient matrix

*.propr.tsv

fdr (file)

(optional) propr fdr table

*.fdr.tsv

adj (file)

(optional) propr adjacency table

*.adj.csv

session_info (file)

dump of R SessionInfo

*.R_sessionInfo.log

versions (file)

File containing software versions

versions.yml
maintainer
Github user suzannejin
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