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Canopy2: tumor phylogeny inference by bulk DNA and single-cell RNA sequencing
Ann Marie K Weideman1, Rujin Wang1, Joseph G Ibrahim1,2
1Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Biorxiv : the Preprint Server for Biology
|April 2, 2024
Summary
Canopy2, a Bayesian framework, reconstructs tumor cell evolution using DNA and single-cell RNA sequencing. It accurately profiles mutations and identifies sources of data variation, improving cancer therapy insights.
Area of Science:
- Genomics
- Computational Biology
- Cancer Research
Background:
- Tumor heterogeneity, arising from distinct cell populations, drives drug resistance and treatment failure.
- Understanding tumor cell evolution through phylogenetic trees is crucial for developing effective cancer therapies.
- Existing methods struggle with the complexity and sparsity of single-cell data for accurate tumor subpopulation profiling.
Conclusions:
- Canopy2 provides a robust computational framework for analyzing tumor evolutionary dynamics.
- Accurate subpopulation profiling enhances understanding of cancer heterogeneity and drug resistance.
- This tool aids in developing more targeted and effective cancer treatment strategies.
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