CASet

CASet computes a distance measure between tumor evolutionary trees to quantify relationships between tree topology and mutation inheritance patterns.


Key Features:

  • Novel distance measures: Introduces the Common Ancestor Set (CASet) distance to quantify differences between tumor evolutionary trees.
  • Subclonal mutation inheritance patterns: Accounts for subclonal mutation inheritance patterns characteristic of tumor evolution when comparing trees.
  • Enhanced resolution: Provides finer differentiation between evolutionary trees than existing measures.

Scientific Applications:

  • Benchmarking tree inference methods: Enables quantitative comparison of inferred tumor evolutionary trees for benchmarking purposes.
  • Evaluating inheritance patterns across patients: Assesses common mutation inheritance patterns across different patient datasets.
  • Comparative studies on tumor evolution: Supports comparison of tumor evolutionary histories using simulated and real-world datasets.

Methodology:

Application of two distance measures—Common Ancestor Set (CASet) and Distinctly Inherited Set Comparison (DISC)—with evaluation on multiple simulated datasets and two breast cancer datasets.

Topics

Details

Added:
1/14/2020
Last Updated:
12/10/2020

Operations

Publications

DiNardo Z, Tomlinson K, Ritz A, Oesper L. Distance measures for tumor evolutionary trees. Bioinformatics. 2019;36(7):2090-2097. doi:10.1093/bioinformatics/btz869. PMID:31750900. PMCID:PMC7141873.

PMID: 31750900
PMCID: PMC7141873
Funding: - National Science Foundation: IIS-1657380