timecoursedata
Bioc currentA data package for timecourse RNA-seq and microarray gene expression data sets
Release Lineage
Entered 3.12 · Oct 28, 2020
Current · Requires R 4.6
Description
This data package contains timecourse gene expression data sets. The first dataset, from Shoemaker et al, consists of microarray samples from lung tissue of mice exposed to different influenzy strains from 14 timepoints. The two other datasets are leaf and root samples from sorghum crops exposed to pre- and post-flowering drought stress and a control condition, sampled across the plants lifetime.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
2 2 exported
Complexity
2 avg / 3 max
Call network
2 nodes / 0 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
641
Files
35
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
2
Internal functions
0
Testing & CI
Has tests
Yes
Test-to-code ratio
0.23
testthat edition
–
CI present
Yes
CI type
["github-actions"]
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
4.0
System requirements
–
C++ standard
–
License
BSD 3-clause License + file LICENSE
License flags
not SPDX, not OSI
History
Versions
12
First release
2020-10-27
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 50%
Topics
Depended on by (1)
Bioconductor (1)
People
- Nelle Varoquaux author maintainer
- Elizabeth Purdom author