Skip to content

scTreeViz

Bioc current

R/Bioconductor package to interactively explore and visualize single cell RNA-seq datasets with hierarhical annotations

v1.18.0 · Package record · software · Artistic-2.0

Release Lineage

Entered 3.14 · Oct 27, 2021

Current · Requires R 4.6

1.0 In 10 of 49 releases 3.23

Description

scTreeViz provides classes to support interactive data aggregation and visualization of single cell RNA-seq datasets with hierarchies for e.g. cell clusters at different resolutions. The `TreeIndex` class provides methods to manage hierarchy and split the tree at a given resolution or across resolutions. The `TreeViz` class extends `SummarizedExperiment` and can performs quick aggregations on the count matrix defined by clusters.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

30 7 exported

Complexity

3.8 avg / 11 max

Call network

30 nodes / 33 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

3,698

Files

45

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,648 (71.6%)Tests 109 (2.9%)Docs 764 (20.7%)Vignettes 177 (4.8%)

API

Exported functions

8

Internal functions

20

Testing

Has tests

Yes

Test-to-code ratio

0.04

testthat edition

–

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

4.0

System requirements

–

C++ standard

–

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

10

First release

2021-10-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.14: 3,698 LOCv3.15: 3,698 LOCv3.16: 3,698 LOCv3.17: 3,698 LOCv3.18: 3,698 LOCv3.19: 3,698 LOCv3.20: 3,698 LOCv3.21: 3,698 LOCv3.22: 3,698 LOCv3.23: 3,698 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 · 112 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
20
Examples that run
89%8 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

2 practices detected in the Bioconductor git repository

Continuous integration (2)
GitHub ActionsPR checks

Topics

Maintainer
Jayaram Kancherla

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("scTreeViz")
Kancherla, J., Corrada Bravo, H., Hicks, S., & Zinat, K. T. (2026). scTreeViz: R/Bioconductor package to interactively explore and visualize single cell RNA-seq datasets with hierarhical annotations (Version 1.18.0) [Computer software]. https://bioconductor.org/packages/scTreeViz

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 scTreeViz version 1.18.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy