Location and Visualization of Clustered Somatic Mutations
Overview
Identification and visualization of groups of closely spaced mutations in the DNA sequence of cancer genome. The extremely mutated zones are searched in the symmetric dissimilarity matrix using the anti-Robinson matrix properties. Different data sets are obtained to describe and plot the clustered mutations information.
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
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 100%
- User manual PDF
Downloads
Dependencies
Installing ClusteredMutations adds 26 packages (11 with compiled code, 22 MB of source tarballs). Heaviest: ggplot2 6.0 MB, seriation 4.3 MB, colorspace 2.0 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- unarchivedReturned to CRAN2025-12-09
- 1.0.2Latest
- archivedRemoved from CRAN2025-06-13issues were not corrected despite reminders
- 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
- 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
- 1.0.12016-04-29
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2016-04-29
- Total releases
- 2 / 10 yrs
- License
- GPL-3 OSI
- Bundled data
- 46 KB / 1 file
- Download size
- 1.0 MB
Cite
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Run in R for the authors' preferred citation:
citation("ClusteredMutations")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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