iDINGO
1.0.4Integrative Differential Network Analysis in Genomics
Overview
Fits covariate dependent partial correlation matrices for integrative models to identify differential networks between two groups. The methods are described in Class et. al., (2018) doi:10.1093/bioinformatics/btx750 and Ha et. al., (2015) doi:10.1093/bioinformatics/btv406.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 14%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
Author records are not tracked yet for this package.
5 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0.4Latest
- RR 4.0.0 released · 2020-04-24
- 1.0.32019-09-06 · diff ↗
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.0.22017-10-12 · diff ↗
- 1.0.12017-08-24 · diff ↗
- 1.0.02017-08-22
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-08-22
- Total releases
- 5 / 9 yrs
- License
- GPL-2 OSI
- Bundled data
- 220 KB / 2 files
- Download size
- 235 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("iDINGO")Cite the R Observatory
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