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.