Package: sssc 1.0.0

sssc: Same Species Sample Contamination Detection

Imports Variant Calling Format file into R. It can detect whether a sample contains contaminant from the same species. In the first stage of the approach, a change-point detection method is used to identify copy number variations for filtering. Next, features are extracted from the data for a support vector machine model. For log-likelihood calculation, the deviation parameter is estimated by maximum likelihood method. Using a radial basis function kernel support vector machine, the contamination of a sample can be detected.

Authors:Tao Jiang [aut, cre]

sssc_1.0.0.tar.gz
sssc_1.0.0.zip(r-4.5)sssc_1.0.0.zip(r-4.4)sssc_1.0.0.zip(r-4.3)
sssc_1.0.0.tgz(r-4.4-any)sssc_1.0.0.tgz(r-4.3-any)
sssc_1.0.0.tar.gz(r-4.5-noble)sssc_1.0.0.tar.gz(r-4.4-noble)
sssc_1.0.0.tgz(r-4.4-emscripten)sssc_1.0.0.tgz(r-4.3-emscripten)
sssc.pdf |sssc.html
sssc/json (API)

# Install 'sssc' in R:
install.packages('sssc', repos = c('https://lethargy608.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

8 exports 0.00 score 34 dependencies 4 scripts 119 downloads

Last updated 6 years agofrom:635d5d0883. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-winOKAug 25 2024
R-4.5-linuxOKAug 25 2024
R-4.4-winOKAug 25 2024
R-4.4-macOKAug 25 2024
R-4.3-winOKAug 25 2024
R-4.3-macOKAug 25 2024

Exports:generate_featuregetAlt2read_vcfrho_estssscsummary_vcftrain_ctupdate_vcf

Dependencies:changepointclassclicolorspacee1071fansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigproxyR6RColorBrewerrlangscalestibbleutf8vctrsVGAMviridisLitewithrzoo