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A package to identify type/subtype of tumor samples and estimate tumor content using minimal DNA-methylation signatures

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MIMESIS

MIMESIS is a computational workflow to quantify and classify tumor signals in tissue and cfDNA samples.

Citation

Romagnoli, Dario et al. “MIMESIS: minimal DNA-methylation signatures to quantify and classify tumor signals in tissue and cell-free DNA samples.” Briefings in bioinformatics vol. 24,2 (2023): bbad015.

DOI:10.1093/bib/bbad015

Installation

You can install the development version of MIMESIS from GitHub with:

# install.packages("devtools")
devtools::install_github("cgplab/MIMESIS")
devtools::install_github("cgplab/PAMES")

Example

library(MIMESIS)
library(PAMES)

## basic example code
samples_subtype <- classify_samples(bc_data)
samples_purity <- get_purity(bc_data, bc_sites)

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A package to identify type/subtype of tumor samples and estimate tumor content using minimal DNA-methylation signatures

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