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CDI

Bioc current

Clustering Deviation Index (CDI)

v1.10.0 · software · GPL-3 + file LICENSE

Release Lineage

Entered 3.18 · Oct 25, 2023

Current · Requires R 4.6

1.0 In 6 of 49 releases 3.23

Description

Single-cell RNA-sequencing (scRNA-seq) is widely used to explore cellular variation. The analysis of scRNA-seq data often starts from clustering cells into subpopulations. This initial step has a high impact on downstream analyses, and hence it is important to be accurate. However, there have not been unsupervised metric designed for scRNA-seq to evaluate clustering performance. Hence, we propose clustering deviation index (CDI), an unsupervised metric based on the modeling of scRNA-seq UMI counts to evaluate clustering of cells.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

13 5 exported

Complexity

5.2 avg / 12 max

Call network

13 nodes / 10 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

2,302

Files

40

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,334 (57.9%)Tests 1 (0%)Docs 707 (30.7%)Vignettes 260 (11.3%)

API

Exported functions

5

Internal functions

8

Testing & CI

Has tests

Yes

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

3.6

System requirements

C++ standard

License

GPL-3 + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

6

First release

2023-12-05

Latest release

2026-04-28

Avg cadence

168 days

Cold removal rate

Dep drift

0

LOC over versions

v3.18: 2,220 LOCv3.19: 2,220 LOCv3.20: 2,220 LOCv3.21: 2,220 LOCv3.22: 2,302 LOCv3.23: 2,302 LOC

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

Documentation

Documentation
READMEYes · 98 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
15%

Topics

People

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