Data-Driven Understanding of Human Disease: From Machine Learning Methods to Biological Discoveries
Paul G. Allen School via YouTube
Overview
Syllabus
Introduction
The main problem
The human genome
One fundamental puzzle
How does a single letter change
Complex networks
Model organisms
How we started answering the first question
What happens if we are outside of the genes
Deep convolutional neural net
Neanderthal genome
Does it actually work
Humanbase
Cross organism networks
Naive Bayesian classifier
Semisupervised training
Free time
How do we study these mechanisms
Can we systematically integrate model organism information with the human quantitative genetic studies
Parkinsons disease
Top genes
Bodybuilding
Keynote
Proteinprotein interactions
Dynamics with networks
Suppressor screens
Subsampling
Taught by
Paul G. Allen School