BIO 165 · Quantitative Biology
Lecture script
PDF
References
Welcome
Week 1: Introduction and getting started
1
Introduction
2
Getting Python and notebooks to Run
3
Biological data: Types and the Concept of Tidy Data
Week 2: Biological data
4
Biological Data: Origin, Variability, and Rigor
5
Data Visualization
6
Datasets in this course
Week 3: Fitting and regression
7
Fitting and the importance of Regression
8
Linear regression
9
Non-linear regression
Week 4: Probability and uncertainty
10
A probabilistic view and the law of large numbers
11
Sampling variability and the standard error of the mean
12
Bootstrapping
Week 5: Hypothesis testing
13
Hypothesis testing
14
Multiple hypothesis testing
Week 6: Counting statistics
15
Counting Statistics and Discrete Biological Measurements
Week 7: Omics and high-dimensional data
16
Omics Data: From Counting to Cellular State
17
Nonlinear dimensionality reduction and UMAP
18
Clustering Algorithms
Week 8: Dynamical systems and stochastic processes (optional)
19
Differential equation and the modeling of dynamical systems
20
The Dynamical Relation Between mRNA and Proteins
21
Stochastic Processes
Week 9: Nonlinear dynamics (optional)
22
Nonlinear Dynamics
References
References
22
Nonlinear Dynamics