Probabilistic Models for RNA Splicing Analysis
Offered By: Paul G. Allen School via YouTube
Course Description
Overview
Explore a colloquium talk by David Knowles from Stanford University on the challenges and advancements in RNA splicing analysis. Delve into the complexities of translating RNA-seq data into meaningful biological insights, focusing on probabilistic models for quantifying alternative splicing and predicting splicing from DNA sequences. Learn about Knowles' innovative approaches to improving the interpretation of rare variants in exome and whole-genome sequencing studies. Gain insights into the application of statistical machine learning in functional genomics and its potential impact on understanding disease states and human development.
Syllabus
UW Allen School Colloquium: David Knowles (Stanford University)
Taught by
Paul G. Allen School
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