Package: plasmut 1.3.0

Adith Arun

plasmut: Stratifying mutations observed in cell-free DNA and white blood cells as germline, hematopoietic, or somatic

A Bayesian method for quantifying the liklihood that a given plasma mutation arises from clonal hematopoesis or the underlying tumor. It requires sequencing data of the mutation in plasma and white blood cells with the number of distinct and mutant reads in both tissues. We implement a Monte Carlo importance sampling method to assess the likelihood that a mutation arises from the tumor relative to non-tumor origin.

Authors:Adith Arun [aut, cre], Robert Scharpf [aut]

plasmut_1.3.0.tar.gz
plasmut_1.3.0.zip(r-4.5)plasmut_1.3.0.zip(r-4.4)plasmut_1.3.0.zip(r-4.3)
plasmut_1.3.0.tgz(r-4.4-any)plasmut_1.3.0.tgz(r-4.3-any)
plasmut_1.3.0.tar.gz(r-4.5-noble)plasmut_1.3.0.tar.gz(r-4.4-noble)
plasmut_1.3.0.tgz(r-4.4-emscripten)plasmut_1.3.0.tgz(r-4.3-emscripten)
plasmut.pdf |plasmut.html
plasmut/json (API)
NEWS

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

Peer review:

Datasets:
  • crcseq - This data is an example dataset to show how to use the package

On BioConductor:plasmut-1.3.0(bioc 3.20)plasmut-1.2.0(bioc 3.19)

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

bioconductor-package

4 exports 1.64 score 16 dependencies

Last updated 2 months agofrom:816f8b05e7

Exports:importance_samplermodel_wplasma_somaticwbc_somatic

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

Modeling the origin of mutations identified in a liquid biopsy: cancer or clonal hematopoiesis?

Rendered fromplasmut.Rmdusingknitr::rmarkdownon Jun 20 2024.

Last update: 2023-10-05
Started: 2022-10-06