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HetSeq

0.1.1Package record

Identifying Modulators of Cellular Responses Leveraging Intercellular Heterogeneity

0packages depend
2.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Cellular responses to perturbations are highly heterogeneous and depend largely on the initial state of cells. Connecting post-perturbation cells via cellular trajectories to untreated cells (e.g. by leveraging metabolic labeling information) enables exploitation of intercellular heterogeneity as a combined knock-down and overexpression screen to identify pathway modulators, termed Heterogeneity-seq (see 'Berg et al' doi:10.1101/2024.10.28.620481). This package contains functions to generate cellular trajectories based on scSLAM-seq (single-cell, thiol-(SH)-linked alkylation of RNA for metabolic labelling sequencing) time courses, functions to identify pathway modulators and to visualize the results.

Changes in 0.1.1

Initial CRAN Release

  • First release of the HetSeq package.
  • Provides tools for creating cell-cell trajectories.
  • Implements methods for identifying pathway modulators by leveraging intercellular heterogeneity.
  • Includes plot functions to visualize the results.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.2 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-04-10
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-09
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.1
READMEYes · 1,018 wordsVignettesNoNEWSYes · 67% structured · mentions 0.1.1Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
9
Examples that run
0%8 never run
Exported functions with examples
89%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.6K
CRAN downloads in the past year
Rank #13,279 · ~7/day · ~213/mo
Daily download trend is not available in this view yet.
29930 days
86590 days
2.6K1 year
Compare downloads with other packages →
Also on66 r2u2 autocran

Repository

0Stars
0Forks
1Open issues
0Open PRs
0Releases
Last activity 2026-10-07
Responsiveness
not measured
PracticesBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/erhard-lab/hetseq on 2026-10-21.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Automation and maintenance (1)
pre-commit
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)

Installing HetSeq adds 178 packages (105 with compiled code, 153 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.1.0 (2025)
Releases (2)

Pick two releases to compare their code metrics.

  • 0.1.1Latest
    record
    2026-06-01 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.0
    record
    2025-02-03
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-02-03
Total releases
2 / 1 yrs
License
Apache License (>= 2)
Minimum R
≥ 4.1.0
Download size
14 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HetSeq")
Berg, K., Erhard, F., & Sakellaridi, L. (2026). HetSeq: Identifying Modulators of Cellular Responses Leveraging Intercellular Heterogeneity (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.HetSeq

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 HetSeq version 0.1.1 [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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