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Implement various chromosomal instability metrics. 'CINmetrics' (Chromosomal INstability metrics) provides functions to calculate various chromosomal instability metrics on masked Copy Number Variation(CNV) data at individual sample level. The chromosomal instability metrics have been implemented as described in the following studies: Baumbusch LO et al. 2013 <doi:10.1371/journal.pone.0054356>, Davidson JM et al. 2014 <doi:10.1371/journal.pone.0079079>, Chin SF et al. 2007 <doi:10.1186/gb-2007-8-10-r215>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10), stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-08-02 |
| Author: | Vishal H. Oza, Roshan Darji, Brittany N. Lasseigne |
| Maintainer: | Vishal H. Oza <vishoza at uab.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | CINmetrics results |
| Reference manual: | CINmetrics.pdf |
| Vignettes: |
CINmetrics |
| Package source: | CINmetrics_0.1.0.tar.gz |
| Windows binaries: | r-devel: CINmetrics_0.1.0.zip, r-release: CINmetrics_0.1.0.zip, r-oldrel: CINmetrics_0.1.0.zip |
| macOS binaries: | r-release (arm64): CINmetrics_0.1.0.tgz, r-oldrel (arm64): CINmetrics_0.1.0.tgz, r-release (x86_64): CINmetrics_0.1.0.tgz, r-oldrel (x86_64): CINmetrics_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.