Comprehensive statistical inference of the clonal structure of cancer from multiple biopsies

Abstract excerpt

A comprehensive characterization of tumor genetic heterogeneity is critical for understanding how cancers evolve and escape treatment. Although many algorithms have been developed for capturing tumor heterogeneity, they are designed for analyzing either a single type of genomic aberration or individual biopsies. Here we present THEMIS (Tumor Heterogeneity Extensible Modeling via an Integrative System), which allow...

Topics

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• Bayes Theorem
• Biopsy
• Clonal Evolution
• DNA Copy Number Variations
• Reproducibility of Results
• Single-Cell Analysis
• Transcriptome
• Triple Negative Breast Neoplasms

Identifiers and source

Literature Corpus work

20f7005e-7c07-56bb-81d2-ced9d3d7ff09

DOI

10.1101/125138