Identifies Mean, Variance, and Hierarchically Clustered Biclusters
Overview
Identifies a bicluster, a submatrix of the data such that the features and observations within the submatrix differ from those not contained in submatrix, using a two-step method. In the first step, observations in the bicluster are identified to maximize the sum of weighted between cluster feature differences. The method is described in Helgeson et al. (2020) doi:10.1111/biom.13136. 'SCBiclust' can be used to identify biclusters which differ based on feature means, feature variances, or more general differences.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 91%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0.12022-06-10 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.0.02019-04-02
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-04-02
- Total releases
- 3 / 7 yrs
- License
- MIT + file LICENSE OSI · relicensed from GPL (>= 2) in 1.0.2
- Download size
- 8.5 KB
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