Integrating Mechanistic Models with Computational Statistics and Machine Learning - New Insights in Biology
Offered By: Centre de recherches mathématiques - CRM via YouTube
Course Description
Overview
Explore the integration of mechanistic models with computational statistics and machine learning in cell and developmental biology. Delve into a CRM Distinguished Lecture in Applied Mathematics delivered by Ruth Baker, addressing the challenges and opportunities presented by the explosion of quantitative data in these fields. Learn how new experimental technologies have revolutionized data generation and the potential for significant new insights. Discover the limitations of classical mechanistic mathematical models in interrogating these complex datasets. Gain understanding of innovative approaches that combine tools from computational statistics and machine learning to overcome these challenges and extract meaningful information from biological data.
Syllabus
Ruth Baker: Integrating mechanistic models with computational statistics and machine learning to
Taught by
Centre de recherches mathématiques - CRM
Related Courses
Preparation for Introductory Biology: DNA to OrganismsUniversity of California, Irvine via Coursera Programmed cell death
Ludwig-Maximilians-Universität München via Coursera Inside Cancer: How Genes Influence Cancer Development
University of Bath via FutureLearn Human Physiology
The University of Oklahoma via Janux AP® Biology - Part 1: The Cell
Rice University via edX