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Machine Learning Models of Differential Gene Expression

Offered By: Simons Institute via YouTube

Tags

Genomics Courses Bioinformatics Courses Deep Learning Courses DNA Analysis Courses Genetic Variation Courses Gene Expression Courses Computational Biology Courses Predictive Modeling Courses

Course Description

Overview

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Explore a comprehensive lecture on applying sequence-based deep learning models to predict and explain regulatory functions from genomic DNA. Delve into the impact of cis-regulatory elements on cellular differentiation and disease-causing genetic variants. Examine recent advancements in adapting these models to study how natural genetic variation affects cellular function, and discover ongoing efforts to improve causal interpretation of non-coding genetic variation for accurate prediction of differential gene expression across individuals. Gain insights into how sequence-based deep learning approaches can uncover regulatory mechanisms and provide a powerful in-silico framework for probing the relationship between regulatory sequence and function.

Syllabus

Machine learning models of differential gene expression


Taught by

Simons Institute

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