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timeOmics

Bioc current

Time-Course Multi-Omics data integration

v1.24.0 · software · GPL-3

Release Lineage

Entered 3.11 · Apr 28, 2020

Current · Requires R 4.6

1.0 In 13 of 49 releases 3.23

Description

timeOmics is a generic data-driven framework to integrate multi-Omics longitudinal data measured on the same biological samples and select key temporal features with strong associations within the same sample group. The main steps of timeOmics are: 1. Plaform and time-specific normalization and filtering steps; 2. Modelling each biological into one time expression profile; 3. Clustering features with the same expression profile over time; 4. Post-hoc validation step.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

70 14 exported

Complexity

3.1 avg / 41 max

Call network

70 nodes / 115 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

4,424

Files

63

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,427 (54.9%)Tests 556 (12.6%)Docs 666 (15.1%)Vignettes 775 (17.5%)

API

Exported functions

14

Internal functions

56

Testing & CI

Has tests

Yes

Test-to-code ratio

0.23

testthat edition

CI present

Yes

CI type

["travis"]

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

4.0

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

13

First release

2020-06-03

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

4

LOC over versions

v3.11: 3,858 LOCv3.12: 3,958 LOCv3.13: 4,117 LOCv3.14: 4,198 LOCv3.15: 4,207 LOCv3.16: 4,208 LOCv3.17: 4,252 LOCv3.18: 4,252 LOCv3.19: 4,424 LOCv3.20: 4,424 LOCv3.21: 4,424 LOCv3.22: 4,424 LOCv3.23: 4,424 LOC

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

Documentation

Documentation
READMEYes · 225 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
96%
Return-value docs
93%
References docs
7%

Topics

Depended on by (1)

Bioconductor (1)

People

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