FORECAST
Published: 11 July 2024| Version 3 | DOI: 10.17632/cd9cf2fb76.3
Contributors:
George Cresswell, Javier Fernandez Mateos, Andrea Sottoriva, Nicholas Trahearn, chela jamesDescription
Measuring tumour evolvability metrics to predict recurrence in advanced localised prostate cancer using multi-biopsy targeted sequencing of prostate cancer specific genes, low coverage whole genome sequencing and matching image analysis. Version 3 note: FI-015_cfDNA_tree.new and FI-072_cfDNA_tree.new have been corrected.
Files
Steps to reproduce
Code for analysis can be found on the GitHub for our lab (https://github.com/sottorivalab).
Institutions
Institute of Cancer Research Sutton
Categories
Genomics, Prostate Cancer, Mutation