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deconstructSigs
View on CRAN: Click
here
Download and install deconstructSigs package within the R console
Install from CRAN:
install.packages("deconstructSigs")
Install from Github:
library("remotes")
install_github("cran/deconstructSigs")
Install by package version:
library("remotes")
install_version("deconstructSigs", "1.8.0")
Attach the package and use:
library("deconstructSigs")
Maintained by
Rachel Rosenthal
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2016-01-15
Latest Update: 2016-07-29
Description:
Takes sample information in the form of the fraction of mutations
in each of 96 trinucleotide contexts and identifies the weighted combination
of published signatures that, when summed, most closely reconstructs the
mutational profile.
How to cite:
Rachel Rosenthal (2016). deconstructSigs: Identifies Signatures Present in a Tumor Sample. R package version 1.8.0, https://cran.r-project.org/web/packages/deconstructSigs. Accessed 28 Mar. 2025.
Previous versions and publish date:
Other packages that cited deconstructSigs R package
View deconstructSigs citation profile
Other R packages that deconstructSigs depends,
imports, suggests or enhances
Functions, R codes and Examples using
the deconstructSigs R package
Some associated functions: changeColumnNames . deconstructSigs . example.output . findSeed . formatContexts . getError . getTriContextFraction . golden.section.search . makePie . mut.to.sigs.input . norm.it . plotSignatures . plotTumor . randomly.generated.tumors . sample.mut.ref . signatures.cosmic . signatures.nature2013 . tri.counts.exome . tri.counts.genome . updateW_GR . vcf.to.sigs.input . whichSignatures .
Some associated R codes: datasets.R . deconstructSigs.R . globalVariables.R . golden_section_search.R . internal.scripts.R . mut.to.sigs.input.R . normalize.data.R . plotting.R . vcf.to.sigs.input.R . whichSignatures.R . Full deconstructSigs package functions and examples
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