Inferring and summarizing tumor phylogenies from bulk DNA data
On simulated and real data, we demonstrate that Sapling is capable of inferring high-quality backbone trees that adequately summarize the space of plausible cancer phylogenies. In addition, we demonstrate that Sapling is able to infer full-size trees with higher likelihoods than state-of-the-art methods.
Authors
- Yuanyuan Qi (ORCID: https://orcid.org/0009-0002-9871-7415)
- Mohammed El-Kebir (ORCID: https://orcid.org/0000-0002-1468-2407)
- Henri Schmidt
Institutions
- University of Illinois Urbana-Champaign (US)
- Princeton University (US)
Publication Details
- Journal
- Algorithms for Molecular Biology
- Published
- 2026-02-18
- DOI
- https://doi.org/10.1186/s13015-025-00295-5
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00