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Cancer Progression Models and Driver Alterations by Alexandros Ferles is a document available to read on EtoBox.

What is Cancer Progression Models and Driver Alterations about?

This project aims to better understand how driver mutations influence cancer progression over time and space. The student will develop methods to identify clonal and subclonal driver alterations in cancer genomic data and apply different models of linear, crisis-driven, and "big bang" progression. New comparative methods will assess the models across patients and cancer types. The student will be supervised by Dr. Francesca Ciccarelli at King

Author

Alexandros Ferles

Language

EN