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Dynamics with networks
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Classroom Contents
Data-Driven Understanding of Human Disease: From Machine Learning Methods to Biological Discoveries
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- 1 Introduction
- 2 The main problem
- 3 The human genome
- 4 One fundamental puzzle
- 5 How does a single letter change
- 6 Complex networks
- 7 Model organisms
- 8 How we started answering the first question
- 9 What happens if we are outside of the genes
- 10 Deep convolutional neural net
- 11 Neanderthal genome
- 12 Does it actually work
- 13 Humanbase
- 14 Cross organism networks
- 15 Naive Bayesian classifier
- 16 Semisupervised training
- 17 Free time
- 18 How do we study these mechanisms
- 19 Can we systematically integrate model organism information with the human quantitative genetic studies
- 20 Parkinsons disease
- 21 Top genes
- 22 Bodybuilding
- 23 Keynote
- 24 Proteinprotein interactions
- 25 Dynamics with networks
- 26 Suppressor screens
- 27 Subsampling
