Biclustering with Heterogeneous Variance
Overview
A data mining tool for discovering subgroups of patients and genes that simultaneously display unusual levels of variability compared to other genes and patients. Based on sparse singular value decomposition (SSVD), the method can detect both mean and variance biclusters in the presence of heterogeneous residual variance.
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Documentation
- Help pages
- 3includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 63%
- Return-value docs
- 100%
- Help pages citing references
- 100%
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People & History
Pick two releases to compare their code metrics.
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2021-01-02requires archived package 'bcv'
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 1.22014-12-03 · diff ↗
- 1.12014-07-21
- RR 3.1.0 released · 2014-04-10
Package metadata
- First published
- 2014-07-21
- Total releases
- 2 / 12 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1.7 MB / 2 files
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