Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Inferring Parsimonious Migration Histories for Metastatic Cancers

Computational Genomics Summer Institute CGSI via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a comprehensive lecture on inferring parsimonious migration histories for metastatic cancers presented at the Computational Genomics Summer Institute (CGSI) 2023. Delve into the research of Mohammed El Kebir as he discusses advanced computational methods for understanding cancer metastasis. Learn about the challenges and complexities involved in reconstructing the evolutionary history of metastatic tumors. Examine the algorithms and approaches used to infer migration patterns of cancer cells between primary and metastatic sites. Gain insights into the application of parsimony principles in reconstructing cancer cell lineages and their movements throughout the body. Discover how these computational techniques contribute to a deeper understanding of cancer progression and potential implications for personalized treatment strategies.

Syllabus

Mohammed El Kebir | Inferring Parsimonious Migration Histories for Metastatic Cancers | CGSI 2023

Taught by

Computational Genomics Summer Institute CGSI

Reviews

Start your review of Inferring Parsimonious Migration Histories for Metastatic Cancers

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.