Package: Clomial 1.43.0
Habil Zare
Clomial: Infers clonal composition of a tumor
Clomial fits binomial distributions to counts obtained from Next Gen Sequencing data of multiple samples of the same tumor. The trained parameters can be interpreted to infer the clonal structure of the tumor.
Authors:
Clomial_1.43.0.tar.gz
Clomial_1.43.0.zip(r-4.5)Clomial_1.43.0.zip(r-4.4)Clomial_1.43.0.zip(r-4.3)
Clomial_1.43.0.tgz(r-4.4-any)Clomial_1.43.0.tgz(r-4.3-any)
Clomial_1.43.0.tar.gz(r-4.5-noble)Clomial_1.43.0.tar.gz(r-4.4-noble)
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Clomial.pdf |Clomial.html✨
Clomial/json (API)
NEWS
# Install 'Clomial' in R: |
install.packages('Clomial', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- Clomial1000 - Pre-computed results of Clomial.
- breastCancer - Breast cancer data for clonal decomposition.
On BioConductor:Clomial-1.41.0(bioc 3.20)Clomial-1.40.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
geneticsgeneticvariabilitysequencingclusteringmultiplecomparisonbayesiandnaseqexomeseqtargetedresequencingimmunooncology
Last updated 23 days agofrom:ed32b0fda4. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win | NOTE | Oct 30 2024 |
R-4.5-linux | NOTE | Oct 30 2024 |
R-4.4-win | NOTE | Oct 30 2024 |
R-4.4-mac | NOTE | Oct 30 2024 |
R-4.3-win | NOTE | Oct 30 2024 |
R-4.3-mac | NOTE | Oct 30 2024 |
Exports:choose.bestClomialClomial.generate.dataClomial.iterateClomial.likelihoodcompute.biccompute.errors
Dependencies:matrixStatspermute
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Fits a binomial model to data from multiple samples of a single tumor to infer its clonal decomposition. | Clomial-package |
Breast cancer data for clonal decomposition. | breastCancer |
Chooses the best trained Clomial model. | choose.best |
Fits several binomial models to data from multiple samples of a single tumor. | Clomial |
Generates simulated data to test performance of Clomial algorithm. | Clomial.generate.data |
Runs EM iterations until convergence of the Clomial model. | Clomial.iterate |
Computes the complete data log-likelihood of a Clomial model. | Clomial.likelihood |
Pre-computed results of Clomial. | Clomial1000 |
Computes BIC for a Clomial model. | compute.bic |
Computes the error of a Clomial model. | compute.errors |