Chance and Necessity: Decision Making in Single Cancer Cells - Lecture 2
Offered By: International Centre for Theoretical Sciences via YouTube
Course Description
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intricate world of cancer cell decision-making in this lecture by Yogesh Goyal, part of the "Theoretical Approaches in Cancer Progression and Treatment" program. Delve into the role of chance and necessity in single cancer cell behavior, gaining insights into the complex mechanisms that drive cancer progression. Learn about cutting-edge theoretical approaches and mathematical models used to understand and predict cancer cell dynamics. Discover how these advanced techniques contribute to the development of novel treatment strategies and clinical trial designs. This lecture, presented at the International Centre for Theoretical Sciences, offers a unique perspective on cancer research, combining theoretical physics, systems biology, and computational methods to unravel the mysteries of cancer cell behavior at the individual level.
Syllabus
Chance and Necessity: Decision Making in Single Cancer Cells (Lecture 2) by Yogesh Goyal
Taught by
International Centre for Theoretical Sciences
Related Courses
Algorithms for DNA SequencingJohns Hopkins University via Coursera Biology Meets Programming: Bioinformatics for Beginners
University of California, San Diego via Coursera Applied Bioinformatics
Coursera Genome Assembly Programming Challenge
University of California, San Diego via Coursera Genome Sequencing (Bioinformatics II)
University of California, San Diego via Coursera