DRomics
2.6.3Dose Response for Omics
Overview
Several functions are provided for dose-response (or concentration-response) characterization from omics data. 'DRomics' is especially dedicated to omics data obtained using a typical dose-response design, favoring a great number of tested doses (or concentrations) rather than a great number of replicates (no need of replicates). 'DRomics' provides functions 1) to check, normalize and or transform data, 2) to select monotonic or biphasic significantly responding items (e.g. probes, metabolites), 3) to choose the best-fit model among a predefined family of monotonic and biphasic models to describe each selected item, 4) to derive a benchmark dose or concentration and a typology of response from each fitted curve. In the available version data are supposed to be single-channel microarray data in log2, RNAseq data in raw counts, or already pretreated continuous omics data (such as metabolomic data) in log scale. In order to link responses across biological levels based on a common method, 'DRomics' also handles apical data as long as they are continuous and follow a normal distribution for each dose or concentration, with a common standard error. For further details see Delignette-Muller et al (2023) DOI:10.24072/pcjournal.325 and Larras et al (2018) DOI:10.1021/acs.est.8b04752.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-2713 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-2112 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 5 earlier snapshots
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-05-1013 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-05-0312 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 39%
Downloads
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Code & Tests
Datasets
People & History
12 releases. Pick two to compare their code metrics. R releases are shown for context.
- 2.6.3Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 2.6-22024-10-16 · diff ↗
- 2.6-02024-09-30 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 2.5-22024-01-31 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 2.5-02023-01-24 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 2.4-02022-01-06 · diff ↗
- 2.3-02021-10-04 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 2.2-02021-02-09 · diff ↗
- 2.1-32020-09-23 · diff ↗
- 2.1-22020-09-22 · diff ↗
Show 5 earlier events
- RR 4.0.0 released · 2020-04-24
- 2.0-12019-09-16 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.0-22019-01-16
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-01-16
- Total releases
- 12 / 7 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 554 KB / 4 files
- Download size
- 3.6 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("DRomics")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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