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22HS
1.
Computational Biology
2.
Data Mining I
❱
2.1.
Metrics
2.2.
Classification
2.3.
Clustering
2.4.
Feature Selection
2.5.
Applications in Computational Biology
23FS + HS
3.
Mobile Health and Activity Monitoring
❱
3.1.
Introduction
4.
Big Data for Engineers
❱
4.1.
Azure Blob Storage
4.2.
Hadoop
4.3.
Spark
4.4.
JSONiq
4.5.
HBase (Wide Column Store)
4.6.
MapReduce
4.7.
YARN
5.
Functional Genomics
❱
5.1.
Modern Genomics I
5.2.
Modern Genomics II
5.3.
Transcriptomics I
5.4.
Transcriptomics II
5.5.
MicroRNAs and other small RNAs
5.6.
Proteomics
5.7.
Metabolomics
5.8.
Single Cell Mass Cytometry
5.9.
Protein Networks
5.10.
Epigenomics and Gene Regulation
5.11.
Qualitiy Control and Standards
24FS
6.
Biofluiddynamics
7.
Synthetic Biology I
24HS
8.
Computer Architecture
9.
Applied Bioinformatics: Microbiomes
10.
Evolutionary Dynamics
❱
10.1.
What is Evolution?
10.2.
Quasispecies
10.3.
Stochastic Models of Finite Populations
10.4.
Evolutionary Dynamics of Cancer
10.5.
Cancer Progression: The Speed of Adaptation
10.6.
Diffusion Theory
10.7.
Evolutionary Game Theory
10.8.
Evolutionary Games in Finite Populations
10.9.
Spatial Models for the Evolution of Solid Tumors
10.10.
Branching Processes
10.11.
Evolutionary Escape
10.12.
Coalescent Theory
10.13.
Tumor Archeology
Light
Rust
Coal
Navy
Ayu
Notes @ ETH Zürich
Evolutionary Dynamics
01. What is Evolution
02. Quasispecies
03. Stochastic Modles of Finite Populations
04. Evolutionary Dynamics of Cancer