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icbn
News
May 1
Our paper Reliable detection of subclonal
single-nucleotide variants in tumor cell populations appeared in Nature Communications today (see also ETH Life). In this work, we present the deepSNV algorithm and demonstrate its capability to detect subclonal mutations present in only 1/10,000 cells.
Gerstung et al. (2012) Nat Commun 3:811. DOI: 10.1038/ncomms1814.
Isotonic regression Conjunctive Bayesian Network models
Current version
0.2-13 Aug 2010
Description
The R package icbn implements algorithms for parameter estimation and model selection for Isotonic Conjunctive Bayesian Network (I-CBN) models. I-CBNs combine isotonic regression on a partially ordered set with CBNs for estimating order constraints among events. The model has been developed to jointly estimate mutational order constraints among genetic events and a genotype-phenotype mapping (such as a fitness landscape) that is non-decreasing along the lattice of genotypes.
Download
The icbn package is distributed under the GNU General Public License.
- 0.2-13 Aug 2010: icbn_0.2-13.tar.gz, icbn_0.2-13.zip
Authors and Contributors
- Niko Beerenwinkel
- Patrick Knupfer
- Achim Tresch
Citations
- Beerenwinkel N, Knupfer P, Tresch A (2011). Learning monotonic genotype-phenotype maps. Stat Appl Genet Mol Biol, Vol. 10, Iss. 1, Art. 3.
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