cat_parallel

Prints using shell echo from inside mclapply when run in Rstudio

Performs multi-omic differential network
analysis by revealing differential interactions between molecular entities
(genes, proteins, transcription factors, or other biomolecules) across the
omic datasets provided.
For each omic dataset, a differential network is constructed where
links represent statistically significant differential interactions between
entities. These networks are then integrated into a comprehensive visualization
using distinct colors to distinguish interactions from different omic layers.
This unified display allows interactive exploration of cross-omic
patterns, such as differential interactions present at both transcript and
protein levels. For each link, users can access differential statistical
significance metrics (p values or adjusted p values, calculated via robust or
traditional linear regression with interaction term) and differential regression
plots.
The methods implemented in this package are described in Sciacca et al. (2023)
<doi:10.1093/bioinformatics/btad192>.

Elisabetta Sciacca

multiDEGGs

Multi-Omic Differentially Expressed Gene-Gene Pairs

Myles Lewis

cat_parallel function

<dl><dt>...</dt>
<dd>to be passed to system()</dd></dl>

Arguments

cat_parallel (from nestedcv) — cat_parallel

<dl>

<dt>...</dt>
<dd>to be passed to system()</dd>

</dl>

cat_parallel: cat_parallel (from nestedcv)

Description

Usage

Arguments