Description

Subclonal deconvolution of cancer genome sequencing data.

Input

Name
Description
Pattern

0 ()

1 ()

Output

Name
Description
Pattern

mobster_rds ()

mobster_best_rds ()

mobster_plots_rds ()

mobster_report_rds ()

mobster_report_pdf ()

mobster_report_png ()

versions ()

Tools

mobster Documentation

mobster is a package that implements a model-based approach for subclonal deconvolution of cancer genome sequencing data.

The package integrates evolutionary theory (i.e., population) and Machine-Learning to analyze (e.g., whole-genome) bulk data from cancer samples. This analysis relates to clustering; we approach it via a maximum-likelihood formulation of Dirichlet mixture models, and use bootstrap routines to assess the confidence of the parameters.

https://github.com/caravagnalab/mobsterdoi: 10.1038/s41588-020-0675-5License: GPL-3.0
Authors