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Computational Methods for Inferring Tumor Evolution and Heterogeneity

Offered By: Mathematical Oncology via YouTube

Tags

Mathematical Oncology Courses Bioinformatics Courses Phylogenetics Courses Statistical Inference Courses Cancer Genomics Courses Computational Biology Courses Evolutionary Algorithms Courses Tumor Heterogeneity Courses

Course Description

Overview

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Explore computational methods for inferring tumor evolution and heterogeneity in this comprehensive seminar presented by Dr. Jasmine Foo as part of the Mathematical Oncology (#mathonco) seminar series. Delve into cutting-edge techniques used to understand the complex processes of tumor development and progression. Learn about advanced algorithms and mathematical models that help researchers unravel the intricacies of cancer genetics and cellular diversity within tumors. Gain insights into how these computational approaches contribute to personalized cancer treatment strategies and improve patient outcomes. The 1-hour and 19-minute presentation offers a deep dive into the intersection of mathematics, computer science, and oncology, providing valuable knowledge for researchers, clinicians, and students interested in the field of computational biology and cancer research.

Syllabus

Dr. Jasmine Foo - Computational methods for inferring tumor evolution and heterogeneity.


Taught by

Mathematical Oncology

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