Evolutionary Models for Cancer and Lineage Tracing - CGSI 2023
Computational Genomics Summer Institute CGSI via YouTube
Finance Certifications Goldman Sachs & Amazon Teams Trust
Stuck in Tutorial Hell? Learn Backend Dev the Right Way
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore evolutionary models for cancer and lineage tracing in this 31-minute conference talk by Ben Raphael at the Computational Genomics Summer Institute (CGSI) 2023. Delve into cutting-edge research on tumor phylogeny inference and CRISPR-Cas9 lineage tracing. Learn about the ConDoR model, which uses a copy-number constrained mutation loss approach for reconstructing tumor evolution. Discover the Startle method, a star homoplasy approach for analyzing CRISPR-Cas9 lineage tracing data. Gain insights into the latest computational techniques for understanding cancer evolution and cellular lineages, drawing from Raphael's recent publications in bioRxiv.
Syllabus
Ben Raphael | Evolutionary Models for Cancer and Lineage Tracing | CGSI 2023
Taught by
Computational Genomics Summer Institute CGSI