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asuri

Bioc current

Analysis of SUrvival and RIsk prediction in patients based on gene signatures

v1.0.0 · software · LGPL-3 + file LICENSE

Release Lineage

Entered 3.23 · Apr 29, 2026

Current · Requires R 4.6

1.0 In 1 of 49 releases 3.23

Description

The ASURI (Analysis of SUrvival and patients RIsk prediction based on gene signatures) package discovers marker genes that are related to risk prediction capabilities and to a clinical variable of interest. It uses two main steps, including subsampling glmnet and unicox. The package implements robust functions to discover survival markers related to a clinical phenotype and to predict a risk score, allowing to study the patient's risk based on the gene signatures. Several plots are provided to visualise the relevance of the genes, the risk score, and patient stratification, as well as a robust version of the Kaplan-Meier curves.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

35 13 exported

Complexity

5.9 avg / 25 max

Call network

35 nodes / 30 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

7,185

Files

51

Compiled share

0%

Has compiled src

No

Language breakdown

R 3,651 (50.8%)Docs 1,354 (18.8%)Vignettes 2,180 (30.3%)

API

Exported functions

13

Internal functions

22

Recent export changes

v3.23+13 genePheno, geneSurv, patientRisk +10 more

Testing & CI

Has tests

No

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

0%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.5.0

System requirements

C++ standard

License

LGPL-3 + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

1

First release

2026-04-28

Latest release

2026-04-28

Avg cadence

Cold removal rate

Dep drift

0

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

Documentation

Documentation
READMEYes · 485 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
37%

Topics

People

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