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veloviz

Bioc current

VeloViz: RNA-velocity informed 2D embeddings for visualizing cell state trajectories

v1.18.0 · software · GPL-3

Release Lineage

Entered 3.14 · Oct 27, 2021

Current · Requires R 4.6

1.0 In 10 of 49 releases 3.23

Description

VeloViz uses each cell’s current observed and predicted future transcriptional states inferred from RNA velocity analysis to build a nearest neighbor graph between cells in the population. Edges are then pruned based on a cosine correlation threshold and/or a distance threshold and the resulting graph is visualized using a force-directed graph layout algorithm. VeloViz can help ensure that relationships between cell states are reflected in the 2D embedding, allowing for more reliable representation of underlying cellular trajectories.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

22 9 exported

Complexity

7 avg / 27 max

Call network

22 nodes / 14 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

2,027

Files

38

Compiled share

10%

Has compiled src

Yes

Language breakdown

R 1,104 (54.5%)C/C++/src 202 (10%)Tests 61 (3%)Docs 600 (29.6%)Vignettes 60 (3%)

API

Exported functions

9

Internal functions

6

Testing & CI

Has tests

Yes

Test-to-code ratio

0.06

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1

System requirements

C++ standard

License

GPL-3

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: 2,026 LOCv3.15: 2,027 LOCv3.16: 2,027 LOCv3.17: 2,027 LOCv3.18: 2,027 LOCv3.19: 2,027 LOCv3.20: 2,027 LOCv3.21: 2,027 LOCv3.22: 2,027 LOCv3.23: 2,027 LOC

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

Documentation

Documentation
READMEYes · 116 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

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