EMA
1.4.7Easy Microarray Data Analysis
Overview
We propose both a clear analysis strategy and a selection of tools to investigate microarray gene expression data. The most usual and relevant existing R functions were discussed, validated and gathered in an easy-to-use R package (EMA) devoted to gene expression microarray analysis. These functions were improved for ease of use, enhanced visualisation and better interpretation of results.
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CRAN check results are not tracked yet.
Documentation
- Examples that run
- 76%
- Documented parameters
- 99%
- Return-value docs
- 86%
- References docs
- 23%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
Show 2 more other
11 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2021-04-03depends on archived package 'heatmap.plus'
- RR 4.0.0 released · 2020-04-24
- 1.4.72020-02-14 · diff ↗
- 1.4.62019-12-16 · diff ↗
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.4.52016-09-07 · diff ↗
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- 1.4.42013-07-01 · diff ↗
- 1.4.32013-07-01 · diff ↗
- 1.4.22013-07-01 · diff ↗
- 1.4.12013-07-01 · diff ↗
Package metadata
- Total releases
- 11
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1.5 MB / 2 files
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("EMA")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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