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SiPSiC

Bioc current

Calculate Pathway Scores for Each Cell in scRNA-Seq Data

v1.12.0 · software · file LICENSE

Release Lineage

Entered 3.17 · Apr 26, 2023

Current · Requires R 4.6

1.0 In 7 of 49 releases 3.23

Description

Infer biological pathway activity of cells from single-cell RNA-sequencing data by calculating a pathway score for each cell (pathway genes are specified by the user). It is recommended to have the data in Transcripts-Per-Million (TPM) or Counts-Per-Million (CPM) units for best results. Scores may change when adding cells to or removing cells off the data. SiPSiC stands for Single Pathway analysis in Single Cells.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

2 1 exported

Complexity

2.5 avg / 3 max

Call network

2 nodes / 0 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

272

Files

12

Compiled share

0%

Has compiled src

No

Language breakdown

R 92 (33.8%)Docs 90 (33.1%)Vignettes 90 (33.1%)

API

Exported functions

1

Internal functions

1

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

C++ standard

License

file LICENSE

License flags

SPDX valid, not OSI

History

Versions

7

First release

2023-08-16

Latest release

2026-04-28

Avg cadence

175 days

Cold removal rate

Dep drift

0

LOC over versions

v3.17: 272 LOCv3.18: 272 LOCv3.19: 272 LOCv3.20: 272 LOCv3.21: 272 LOCv3.22: 272 LOCv3.23: 272 LOC

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

Documentation

Documentation
READMEYes · 133 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
67%

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SiPSiC")
Davis, D., & Drier, Y. (2026). SiPSiC: Calculate Pathway Scores for Each Cell in scRNA-Seq Data (Version 1.12.0) [Computer software]. https://bioconductor.org/packages/SiPSiC

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 SiPSiC version 1.12.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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