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MPAC

Bioc current

Multi-omic Pathway Analysis of Cells

v1.6.0 · Package record · software · GPL-3

Release Lineage

Entered 3.20 · Oct 30, 2024

Current · Requires R 4.6

1.0 In 4 of 49 releases 3.23

Description

Multi-omic Pathway Analysis of Cells (MPAC), integrates multi-omic data for understanding cellular mechanisms. It predicts novel patient groups with distinct pathway profiles as well as identifying key pathway proteins with potential clinical associations. From CNA and RNA-seq data, it determines genes’ DNA and RNA states (i.e., repressed, normal, or activated), which serve as the input for PARADIGM to calculate Inferred Pathway Levels (IPLs). It also permutes DNA and RNA states to create a background distribution to filter IPLs as a way to remove events observed by chance. It provides multiple methods for downstream analysis and visualization.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

45 20 exported

Complexity

1.6 avg / 6 max

Call network

45 nodes / 31 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

3,328

Files

115

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,496 (45%)Tests 428 (12.9%)Docs 803 (24.1%)Vignettes 601 (18.1%)

API

Exported functions

20

Internal functions

25

Recent export changes

v3.21+6 getSignifOvrOnCl, pltConMtf, pltMtfPrtIPL +3 more
v3.20+14 clSamp, colPermIPL, colRealIPL +11 more

Testing

Has tests

Yes

Test-to-code ratio

0.29

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

90.9%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.4.0

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

4

First release

2024-10-29

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

–

Dep drift

8

LOC over versions

v3.20: 2,346 LOCv3.21: 3,328 LOCv3.22: 3,328 LOCv3.23: 3,328 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
READMEYes · 239 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
20
Examples that run
100%19 run in a plain check
Exported functions with examples
95%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

Checks run against github.com/pliu55/mpac on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 41
NameClassSizeAlso in
TCGA-CV-7100_1_cfgdata.frame5 × 2No other package
TCGA-CV-7100_1_cptdata.frame20 × 3No other package
TCGA-CV-7100_1_inp_focaldata.frame1 × 8No other package
TCGA-CV-7100_1_inp_log10fpkmP1data.frame1 × 8No other package
TCGA-CV-7100_1_ipl–––
TCGA-CV-7100_2_cfgdata.frame5 × 2No other package
TCGA-CV-7100_2_cptdata.frame20 × 3No other package
TCGA-CV-7100_2_inp_focaldata.frame1 × 8No other package
TCGA-CV-7100_2_inp_log10fpkmP1data.frame1 × 8No other package
TCGA-CV-7100_2_ipl–––
TCGA-CV-7100_3_cfgdata.frame5 × 2No other package
TCGA-CV-7100_3_cptdata.frame20 × 3No other package
TCGA-CV-7100_3_inp_focaldata.frame1 × 8No other package
TCGA-CV-7100_3_inp_log10fpkmP1data.frame1 × 8No other package
TCGA-CV-7100_3_ipl–––
TCGA-CV-7100_cfgdata.frame5 × 2No other package
TCGA-CV-7100_cptdata.frame20 × 3No other package
TCGA-CV-7100_inp_focaldata.frame1 × 8No other package
TCGA-CV-7100_inp_log10fpkmP1data.frame1 × 8No other package
TCGA-CV-7100_ipl–––
cdrmatrix71 × 4No other package
cldata.table15 × 72No other package
clmatmatrix18 × 1No other package
con_grphlist1 elementNo other package
flt_realmatrix30 × 2No other package
fltmatmatrix7 × 11No other package
focal_tumormatrix7 × 71No other package
grphllist4 elementsNo other package
inp_focal–––
inp_log10fpkmP1–––
inp_permlist3 elements2 packages
inp_real–––
iplmatrix8 × 71No other package
log10fpkmP1_normalmatrix7 × 44No other package
log10fpkmP1_tumormatrix7 × 71No other package
ovrmatrix2 × 2No other package
ovrmatmatrix2,085 × 18No other package
permdata.table90 × 3No other package
realdata.table30 × 2No other package
subntwllist2 elementsNo other package
tiny_pth–––

All of MPAC's data objects

Topics

Maintainer
Peng Liu

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("MPAC")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/bioinformatics/btaf490.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MPAC version 1.6.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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