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blase

Bioc current

Bulk Linking Analysis for Single-cell Experiments

v1.2.1 · Package record · software · GPL (>= 3)

Release Lineage

Entered 3.22 · Oct 30, 2025

Current · Requires R 4.6

1.0 In 2 of 49 releases 3.23

Description

BLASE is a method for finding where bulk RNA-seq data lies on a single-cell pseudotime trajectory. It uses a fast and understandable approach based on Spearman correlation, with bootstrapping to provide confidence. BLASE can be used to "date" bulk RNA-seq data, annotate cell types in scRNA-seq, and help correct for developmental phenotype differences in bulk RNA-seq experiments.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

49 15 exported

Complexity

2.7 avg / 10 max

Call network

49 nodes / 43 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

7,995

Files

85

Compiled share

0%

Has compiled src

No

Language breakdown

R 3,068 (38.4%)Tests 1,243 (15.5%)Docs 2,836 (35.5%)Vignettes 848 (10.6%)

API

Exported functions

31

Internal functions

31

Recent export changes

v3.23+3 bulk_name<-, metric, strong_mapping  −1 confident_mapping
v3.22+29 genes<-, BlaseData, annotate_sce +26 more

Testing

Has tests

Yes

Test-to-code ratio

0.41

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

5.9%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.5.0

System requirements

–

C++ standard

–

License

GPL (>= 3)

License flags

SPDX valid, OSI approved

History

Versions

2

First release

2025-10-29

Latest release

2026-08-11

Avg cadence

286 days

Cold removal rate

100%

Dep drift

1

LOC over versions

v3.22: 7,330 LOCv3.23: 7,995 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 · 819 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structuredCitation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
46 (8 internal)
Examples that run
100%36 run in a plain check
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/andrewmccluskey-uog/blase on 2026-10-18.

Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-05-26

pkgdown site last built 2026-05-26

Reproducibility and dev environment (1)
data-raw/
How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 4
NameClassSizeAlso in
MCA_PF_SCE–––
painter_microarraydata.frame1,731 × 48No other package
tradeSeq_BLASE_example_sce–––
zhang_2021_heat_shock_bulkdata.frame990 × 12No other package

All of blase's data objects

Topics

Maintainer
Andrew McCluskey

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("blase")

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

It points to 10.1186/s44330-026-00082-7.

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 blase version 1.2.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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